Principal Data Scientist
Sacramento, CA jobs
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.
**Location**
This is a work from home position within the US.
**The Main Responsibilities**
+ Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques
+ Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps
+ Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement
+ Develop data pipelines for ingestion, transformation, and storage to support AI workloads
+ Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock
+ Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring
+ Develop generative AI models for personalized customer experiences and automation of complex decision-making processes
+ Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources
+ Optimize AI models for performance, scalability, and reliability in enterprise environments
+ Conduct architecture design reviews and performance tuning for AI/ML applications
+ Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies
+ Ensure compliance with ethical AI principles, model governance, and data privacy regulations
**What We Look For in a Candidate**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
+ 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
+ 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
+ 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications
+ Strong problem-solving skills and a deep understanding of statistical and mathematical principles
+ Strong experience in natural language processing (NLP) and generative AI applications
+ Expertise in AIOps, model lifecycle management, and AI model deployment at scale
+ Proficient in Python and related libraries and SQ
+ Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
+ Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
+ Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
+ Experience in the Telecom industry, particularly in Network or Orchestration
+ Familiarity with Azure OpenAI, LLM fine-tuning is preferred
+ Familiarity with agile software delivery methodologies such as Scaled Agile
**Compensation**
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$149,084 - $198,779 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$156,539 - $208,718 in these states: CO HI MI MN NC NH NV OR RI
$163,993 - $218,657 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Learn more about Lumen's:
Benefits (****************************************************
Bonus Structure
\#LI-Remote
\#LP1
Requisition #: 339933
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Principal Data Scientist
Albany, NY jobs
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.
**Location**
This is a work from home position within the US.
**The Main Responsibilities**
+ Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques
+ Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps
+ Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement
+ Develop data pipelines for ingestion, transformation, and storage to support AI workloads
+ Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock
+ Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring
+ Develop generative AI models for personalized customer experiences and automation of complex decision-making processes
+ Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources
+ Optimize AI models for performance, scalability, and reliability in enterprise environments
+ Conduct architecture design reviews and performance tuning for AI/ML applications
+ Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies
+ Ensure compliance with ethical AI principles, model governance, and data privacy regulations
**What We Look For in a Candidate**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
+ 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
+ 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
+ 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications
+ Strong problem-solving skills and a deep understanding of statistical and mathematical principles
+ Strong experience in natural language processing (NLP) and generative AI applications
+ Expertise in AIOps, model lifecycle management, and AI model deployment at scale
+ Proficient in Python and related libraries and SQ
+ Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
+ Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
+ Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
+ Experience in the Telecom industry, particularly in Network or Orchestration
+ Familiarity with Azure OpenAI, LLM fine-tuning is preferred
+ Familiarity with agile software delivery methodologies such as Scaled Agile
**Compensation**
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$149,084 - $198,779 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$156,539 - $208,718 in these states: CO HI MI MN NC NH NV OR RI
$163,993 - $218,657 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Learn more about Lumen's:
Benefits (****************************************************
Bonus Structure
\#LI-Remote
\#LP1
Requisition #: 339933
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Principal Data Scientist
Santa Fe, NM jobs
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.
**Location**
This is a work from home position within the US.
**The Main Responsibilities**
+ Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques
+ Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps
+ Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement
+ Develop data pipelines for ingestion, transformation, and storage to support AI workloads
+ Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock
+ Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring
+ Develop generative AI models for personalized customer experiences and automation of complex decision-making processes
+ Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources
+ Optimize AI models for performance, scalability, and reliability in enterprise environments
+ Conduct architecture design reviews and performance tuning for AI/ML applications
+ Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies
+ Ensure compliance with ethical AI principles, model governance, and data privacy regulations
**What We Look For in a Candidate**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
+ 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
+ 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
+ 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications
+ Strong problem-solving skills and a deep understanding of statistical and mathematical principles
+ Strong experience in natural language processing (NLP) and generative AI applications
+ Expertise in AIOps, model lifecycle management, and AI model deployment at scale
+ Proficient in Python and related libraries and SQ
+ Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
+ Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
+ Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
+ Experience in the Telecom industry, particularly in Network or Orchestration
+ Familiarity with Azure OpenAI, LLM fine-tuning is preferred
+ Familiarity with agile software delivery methodologies such as Scaled Agile
**Compensation**
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$149,084 - $198,779 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$156,539 - $208,718 in these states: CO HI MI MN NC NH NV OR RI
$163,993 - $218,657 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Learn more about Lumen's:
Benefits (****************************************************
Bonus Structure
\#LI-Remote
\#LP1
Requisition #: 339933
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Data Scientist
Hawaii jobs
The Data Scientist will lead the development of datasets for data-driven visualizations and performance metrics to support public health decision-making within the Hawaii Department of Health (HDOH) as part of the Hawaii Data & Analytics Modernization Project. This role is embedded in the Workforce Acceleration Initiative (WAI), a federally funded CDC Foundation program aimed at enhancing public health agencies' technology and data systems. The Data Scientist will focus on making datasets accessible and designing and implementing PowerBI dashboards for over 40 HDOH programs. This comprises importing datasets to the DOH Enterprise Data Warehouse (EDW) in Azure, developing robust Extract, Transform, Load (ETL) processes, and delivering a Train-the-Trainer program to build staff capacity for data pipelines and dashboards maintenance.
The role requires close collaboration with HDOH program staff, Subject Matter Experts (SMEs), and the Health Data & Informatics Office (HDIO) staff PowerBI and IT teams. The role ensures data is made accessible and dashboards are developed to align with Public Health Accreditation Board (PHAB) standards, Continuous Quality Improvement (CQI) initiatives, and HDOH program goals. The Data Scientist will integrate stakeholder engagement to address diverse programmatic needs and support the synthesis of a core data model within the data warehouse across HDOH programs. This position is eligible for a fully remote work arrangement for U.S.-based candidates, hired through the CDC Foundation, and assigned to HDOH's Health Data & Informatics Office.
Responsibilities
· Data Management and ETL Process Development:
o Assess, plan, and develop data pipelines from multiple operational systems for ingest into a common HDOH data warehouse, with appropriate governance controls, for use in analysis and reporting projects.
o Assess and manage ETL processes to support data visualization for over 40 HDOH programs, ensuring reliable data integration and quality from source systems to the HDOH data warehouse, for PowerBI dashboards.
o Collaborate with HDIO's PowerBI and IT teams to design and implement ETL workflows, integrating disparate data sources into a unified core data model.
o Develop and maintain standardized data collection, quality, and processing protocols to ensure data accuracy, consistency, and timeliness.
o Produce updated weekly progress reports on ETL and data management activities, accessible to all relevant stakeholders, to ensure transparency and alignment.
· PowerBI Dashboard Development:
o Lead the design, development, and deployment of interactive PowerBI dashboards for over 40 HDOH programs, visualizing previously identified KPIs and performance metrics, alongside HDOH technical staff.
o Ensure dashboards are user-friendly, with drill-down capabilities, and aligned with PHAB accreditation readiness, CQI initiatives, and HDOH program goals.
o Conduct iterative design reviews and usability testing with HDOH staff to refine dashboard functionality and address program-specific needs.
o Produce weekly progress reports on dashboard development, accessible to all relevant stakeholders, to document milestones and incorporate feedback.
· Train-the-Trainer Program Development:
o Develop and deliver a Train-the-Trainer program to equip HDOH staff with skills to create, maintain, and update data pipelines and PowerBI dashboards, including ETL details for troubleshooting.
o Design modular, flexible training sessions with recorded materials and user-friendly guides to accommodate varying schedules and skill levels.
o Provide ongoing support through a helpdesk or peer mentoring system to reinforce learning and ensure long-term sustainability.
o Produce updated weekly progress reports on training efforts, accessible to all relevant stakeholders, to monitor adoption and impact.
· Project Coordination and Stakeholder Collaboration:
o Oversee coordination and execution of dashboard development, metrics refinement, and training, ensuring integration with interrelated projects (data governance, EDSS modernization, core data model synthesis).
o Lead regular project meetings with HDOH staff, SMEs, and HDIO's PowerBI and IT teams to review progress, address issues, and ensure PHAB alignment.
o Use project management tools to track ETL, dashboard, and training milestones, allocating resources to meet timelines and stakeholder expectations.
o Produce updated weekly progress reports on project coordination, accessible to all relevant stakeholders, to maintain clear communication and accountability.
· Risk Management and Communication:
o Identify and mitigate risks in ETL processes, dashboard usability, and training adoption, collaborating with HDIO teams to ensure data accuracy and stakeholder satisfaction.
o Develop stakeholder communication materials (reports, presentations) using data visualization tools to share progress, ETL performance, and dashboard insights with clarity.
Qualifications
· Education:
o Bachelor's degree in Information Systems, Data Science, Public Health, Computer Science, or a related field. Master's degree in a similar field preferred but not required.
· Experience:
o 7-10 years of experience in data management, ETL development or maintenance, business intelligence, or public health informatics, ideally with a focus on healthcare or public health IT systems.
o Demonstrated expertise in designing and implementing ETL processes and data management frameworks for data integration and quality assurance.
o Significant experience developing and deploying PowerBI dashboards for performance tracking and visualization in complex organizational settings.
o Experience working with public health agencies or healthcare systems, particularly in data systems, performance metrics, and stakeholder engagement, is highly desirable.
· Technical Skills:
o Demonstrated proficiency in developing and maintaining ETL processes, database design, and data quality assurance, with experience integrating disparate data sources into a common data warehouse and associated common data model.
o Proficiency with data quality tools and data catalogs, for developing and maintaining consistent data resources or data products for an organization.
o Proficiency in PowerBI for dashboard design, data modeling, and DAX (Data Analysis Expressions) for advanced analytics.
o Familiarity with SQL for querying and managing relational databases.
o Experience with project management tools for tracking milestones and resource allocation.
· Public Health and Evaluation Knowledge:
o Understanding of public health workflows, data collection methods, data quality methods, and evaluation methodologies for performance metrics.
o Familiarity with PHAB standards, CQI initiatives, and national/international public health metrics frameworks is desired.
o Experience implementing training programs for technical tools (e.g., PowerBI, ETL processes) in public health settings.
· Communication and Collaboration:
o Exceptional interpersonal and communication skills to facilitate collaboration with diverse stakeholders, including public health professionals, technical teams, and leadership, while demonstrating cultural sensitivity and respect for Hawaii's unique cultural context.
o Ability to adapt communication styles and approaches to align with HDOH values, fostering trust and effective partnerships with HDOH staff and community stakeholders.
o Proven ability to bridge technical and business requirements, ensuring alignment between data solutions and organizational goals, while being mindful of cultural nuances and organizational priorities.
o Experience managing stakeholders and leading cross-functional teams in fast-paced environments, with a focus on building inclusive and culturally responsive collaborations.
· Project Management:
o Strong project management skills, including planning, creating work breakdown structures, and tracking milestones.
o Ability to manage multiple priorities, meet deadlines, and solve complex problems with minimal supervision.
o Experience with organizational change management, preferably using models like ADKAR.
Job Highlights
· Location: Remote, must be based in the United States. The individual must align their work hours with Hawaii Standard Time (HST) to ensure effective collaboration and communication with HDOH teams and stakeholders. Resources based in the Western US time zones preferred.
· Salary Range: $92,700-$134,275 per year, plus benefits. Individual salary offers will be based on experience and qualifications.
· Position Type: Grant-funded, limited-term opportunity.
· Position End Date: June 30, 2026.
Special Notes
This role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. Roles and responsibilities listed above may be expanded upon or updated to match priorities and needs, once written approval is received by the CDC Foundation in order to best support the public health programming.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law.
We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices and do not discriminate on the basis of any unlawful criteria in accordance with 41 C.F.R. §§ 60-300.5(a)(12) and 60-741.5(a)(7). As a federal government contractor, we take affirmative action on behalf of protected veterans.
The CDC Foundation is a smoke-free environment.
Relocation expenses are not included.
About the CDC Foundation
The CDC Foundation helps CDC save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC's critical health protection mission. The CDC Foundation manages hundreds of programs each year impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. Visit ********************* for more information.
Auto-ApplyPrincipal Data Scientist
Madison, WI jobs
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.
**Location**
This is a work from home position within the US.
**The Main Responsibilities**
+ Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques
+ Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps
+ Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement
+ Develop data pipelines for ingestion, transformation, and storage to support AI workloads
+ Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock
+ Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring
+ Develop generative AI models for personalized customer experiences and automation of complex decision-making processes
+ Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources
+ Optimize AI models for performance, scalability, and reliability in enterprise environments
+ Conduct architecture design reviews and performance tuning for AI/ML applications
+ Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies
+ Ensure compliance with ethical AI principles, model governance, and data privacy regulations
**What We Look For in a Candidate**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
+ 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
+ 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
+ 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications
+ Strong problem-solving skills and a deep understanding of statistical and mathematical principles
+ Strong experience in natural language processing (NLP) and generative AI applications
+ Expertise in AIOps, model lifecycle management, and AI model deployment at scale
+ Proficient in Python and related libraries and SQ
+ Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
+ Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
+ Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
+ Experience in the Telecom industry, particularly in Network or Orchestration
+ Familiarity with Azure OpenAI, LLM fine-tuning is preferred
+ Familiarity with agile software delivery methodologies such as Scaled Agile
**Compensation**
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$149,084 - $198,779 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$156,539 - $208,718 in these states: CO HI MI MN NC NH NV OR RI
$163,993 - $218,657 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Learn more about Lumen's:
Benefits (****************************************************
Bonus Structure
\#LI-Remote
\#LP1
Requisition #: 339933
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Principal Data Scientist
Montpelier, VT jobs
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.
**Location**
This is a work from home position within the US.
**The Main Responsibilities**
+ Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques
+ Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps
+ Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement
+ Develop data pipelines for ingestion, transformation, and storage to support AI workloads
+ Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock
+ Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring
+ Develop generative AI models for personalized customer experiences and automation of complex decision-making processes
+ Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources
+ Optimize AI models for performance, scalability, and reliability in enterprise environments
+ Conduct architecture design reviews and performance tuning for AI/ML applications
+ Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies
+ Ensure compliance with ethical AI principles, model governance, and data privacy regulations
**What We Look For in a Candidate**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
+ 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
+ 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
+ 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications
+ Strong problem-solving skills and a deep understanding of statistical and mathematical principles
+ Strong experience in natural language processing (NLP) and generative AI applications
+ Expertise in AIOps, model lifecycle management, and AI model deployment at scale
+ Proficient in Python and related libraries and SQ
+ Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
+ Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
+ Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
+ Experience in the Telecom industry, particularly in Network or Orchestration
+ Familiarity with Azure OpenAI, LLM fine-tuning is preferred
+ Familiarity with agile software delivery methodologies such as Scaled Agile
**Compensation**
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$149,084 - $198,779 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$156,539 - $208,718 in these states: CO HI MI MN NC NH NV OR RI
$163,993 - $218,657 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Learn more about Lumen's:
Benefits (****************************************************
Bonus Structure
\#LI-Remote
\#LP1
Requisition #: 339933
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Principal Data Scientist
Hartford, CT jobs
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.
**Location**
This is a work from home position within the US.
**The Main Responsibilities**
+ Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques
+ Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps
+ Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement
+ Develop data pipelines for ingestion, transformation, and storage to support AI workloads
+ Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock
+ Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring
+ Develop generative AI models for personalized customer experiences and automation of complex decision-making processes
+ Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources
+ Optimize AI models for performance, scalability, and reliability in enterprise environments
+ Conduct architecture design reviews and performance tuning for AI/ML applications
+ Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies
+ Ensure compliance with ethical AI principles, model governance, and data privacy regulations
**What We Look For in a Candidate**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
+ 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
+ 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
+ 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications
+ Strong problem-solving skills and a deep understanding of statistical and mathematical principles
+ Strong experience in natural language processing (NLP) and generative AI applications
+ Expertise in AIOps, model lifecycle management, and AI model deployment at scale
+ Proficient in Python and related libraries and SQ
+ Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
+ Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
+ Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
+ Experience in the Telecom industry, particularly in Network or Orchestration
+ Familiarity with Azure OpenAI, LLM fine-tuning is preferred
+ Familiarity with agile software delivery methodologies such as Scaled Agile
**Compensation**
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$149,084 - $198,779 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$156,539 - $208,718 in these states: CO HI MI MN NC NH NV OR RI
$163,993 - $218,657 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Learn more about Lumen's:
Benefits (****************************************************
Bonus Structure
\#LI-Remote
\#LP1
Requisition #: 339933
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Principal Data Scientist
Phoenix, AZ jobs
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.
**Location**
This is a work from home position within the US.
**The Main Responsibilities**
+ Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques
+ Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps
+ Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement
+ Develop data pipelines for ingestion, transformation, and storage to support AI workloads
+ Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock
+ Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring
+ Develop generative AI models for personalized customer experiences and automation of complex decision-making processes
+ Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources
+ Optimize AI models for performance, scalability, and reliability in enterprise environments
+ Conduct architecture design reviews and performance tuning for AI/ML applications
+ Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies
+ Ensure compliance with ethical AI principles, model governance, and data privacy regulations
**What We Look For in a Candidate**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
+ 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
+ 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
+ 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications
+ Strong problem-solving skills and a deep understanding of statistical and mathematical principles
+ Strong experience in natural language processing (NLP) and generative AI applications
+ Expertise in AIOps, model lifecycle management, and AI model deployment at scale
+ Proficient in Python and related libraries and SQ
+ Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
+ Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
+ Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
+ Experience in the Telecom industry, particularly in Network or Orchestration
+ Familiarity with Azure OpenAI, LLM fine-tuning is preferred
+ Familiarity with agile software delivery methodologies such as Scaled Agile
**Compensation**
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$149,084 - $198,779 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$156,539 - $208,718 in these states: CO HI MI MN NC NH NV OR RI
$163,993 - $218,657 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Learn more about Lumen's:
Benefits (****************************************************
Bonus Structure
\#LI-Remote
\#LP1
Requisition #: 339933
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
John Snow Labs US-Based Healthcare Data Scientist
Delaware City, DE jobs
John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.
John Snow Labs is the developer of Spark NLP - the world's most widely used NLP library in the enterprise - and is the world's leading provider of state-of-the-art clinical NLP software, powering some of the world's largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master's degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.
Job Description
John Snow Labs is seeking a highly skilled and motivated Data Scientist to contribute to transformative initiatives within the healthcare industry. The ideal candidate will possess a strong background in developing and optimizing machine learning models, specifically within healthcare contexts. We are looking for a results-oriented individual proficient in training and fine-tuning models, building robust, production-ready model inference pipelines, and conducting comprehensive exploratory data analysis and data enrichment.
Qualifications
Key Responsibilities:
Train, fine tune, and enhance LLM & NLP models using the open-source Python library ecosystem. Experience with LLMs, Generative AI, and deep learning is a significant advantage.
Build data science and data engineering pipelines specific to analyzing clinical data, such as extracting information from medical text or images, or integrating uncertain information from multiple medical data sources.
Collaborate with our team on customer-facing projects, utilizing your expertise to create advanced machine learning, deep learning, large language models, and time series forecasting pipelines tailored to address specific business needs.
Ensure models are validated for issues like bias, overfitting, and concept drift to ensure reliability and effectiveness.
Engage directly with customers, requiring strong oral and written communication skills to convey complex technical concepts clearly.
Mandatory Skills:
Proven experience in consistently delivering real-world projects covering the key responsibilities. Knowledge that is limited to an academic setting, or to using existing APIs to building applications, is not sufficient for this role.
Hands-on experience with OMOP, FHIR, clinical terminologies, and understanding of the patient journey.
Strong background in healthcare-related fields such as medicine, pharma, bioinformatics, or biostatistics is highly beneficial.
A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated.
Experience with John Snow Labs' technology stack, such as Spark NLP or the medical language models, is a plus.
What We Offer:
A chance to work on cutting-edge problems in healthcare and life sciences, contributing to meaningful projects that impact patient outcomes.
Long-term freelancing contracts with a commitment of at least 30 hours per week. We are seeking individuals, not agencies or teams.
The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.
To apply, please include the words 'John Snow Labs' in your cover letter and detail why you believe you are the best fit for this role. This is more than just a contract - it's a chance to make a real difference.
Additional Information
Our Commitment to You
At John Snow Labs, we believe that diversity is the catalyst of innovation. We're committed to empowering talented people from every background and perspective to thrive.
We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com
We are a fully virtual company, collaborating across 28 countries.
This is a contract opportunity, not a full-time employment role.
This role requires the availability of at least 30-40 hours per week.
Principal Data Scientist
Jefferson City, MO jobs
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.
**Location**
This is a work from home position within the US.
**The Main Responsibilities**
+ Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques
+ Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps
+ Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement
+ Develop data pipelines for ingestion, transformation, and storage to support AI workloads
+ Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock
+ Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring
+ Develop generative AI models for personalized customer experiences and automation of complex decision-making processes
+ Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources
+ Optimize AI models for performance, scalability, and reliability in enterprise environments
+ Conduct architecture design reviews and performance tuning for AI/ML applications
+ Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies
+ Ensure compliance with ethical AI principles, model governance, and data privacy regulations
**What We Look For in a Candidate**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
+ 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
+ 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
+ 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications
+ Strong problem-solving skills and a deep understanding of statistical and mathematical principles
+ Strong experience in natural language processing (NLP) and generative AI applications
+ Expertise in AIOps, model lifecycle management, and AI model deployment at scale
+ Proficient in Python and related libraries and SQ
+ Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
+ Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
+ Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
+ Experience in the Telecom industry, particularly in Network or Orchestration
+ Familiarity with Azure OpenAI, LLM fine-tuning is preferred
+ Familiarity with agile software delivery methodologies such as Scaled Agile
**Compensation**
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$149,084 - $198,779 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$156,539 - $208,718 in these states: CO HI MI MN NC NH NV OR RI
$163,993 - $218,657 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Learn more about Lumen's:
Benefits (****************************************************
Bonus Structure
\#LI-Remote
\#LP1
Requisition #: 339933
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Principal Data Scientist
Annapolis, MD jobs
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.
**Location**
This is a work from home position within the US.
**The Main Responsibilities**
+ Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques
+ Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps
+ Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement
+ Develop data pipelines for ingestion, transformation, and storage to support AI workloads
+ Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock
+ Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring
+ Develop generative AI models for personalized customer experiences and automation of complex decision-making processes
+ Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources
+ Optimize AI models for performance, scalability, and reliability in enterprise environments
+ Conduct architecture design reviews and performance tuning for AI/ML applications
+ Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies
+ Ensure compliance with ethical AI principles, model governance, and data privacy regulations
**What We Look For in a Candidate**
+ Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
+ 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
+ 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
+ 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications
+ Strong problem-solving skills and a deep understanding of statistical and mathematical principles
+ Strong experience in natural language processing (NLP) and generative AI applications
+ Expertise in AIOps, model lifecycle management, and AI model deployment at scale
+ Proficient in Python and related libraries and SQ
+ Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
+ Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
+ Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
+ Experience in the Telecom industry, particularly in Network or Orchestration
+ Familiarity with Azure OpenAI, LLM fine-tuning is preferred
+ Familiarity with agile software delivery methodologies such as Scaled Agile
**Compensation**
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$149,084 - $198,779 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$156,539 - $208,718 in these states: CO HI MI MN NC NH NV OR RI
$163,993 - $218,657 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Learn more about Lumen's:
Benefits (****************************************************
Bonus Structure
\#LI-Remote
\#LP1
Requisition #: 339933
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Data Scientist II
San Diego, CA jobs
Battelle delivers when others can't. We conduct research and development, manage national laboratories, design and manufacture products and deliver critical services for our clients-whether they are a multi-national corporation, a small start-up or a government agency.
We recognize and appreciate the value and contributions of individuals from a wide range of backgrounds and experiences and welcome all qualified individuals to apply.
**Job Summary**
The Health Research and Analytics (HRA) business line is seeking a highly motivated, full-time **Data Scientist** to join our team in support of our government customer, U.S. Special Operations Command. This position will play a critical role in advancing the Preservation of the Forces and Family (POTFF) program, which is dedicated to optimizing and sustaining the mission readiness, longevity, and performance of Special Operations Forces (SOF). Through integrated and holistic human performance initiatives, POTFF strengthens both the Forces and their families, ensuring comprehensive support for those who serve. As a Data Scientist, you will contribute to impactful research and analytics that drive evidence-based decision-making and enhance the effectiveness of these vital programs. This is an exciting opportunity to make a meaningful difference in the lives of SOF personnel and their families while working in a dynamic, mission-driven environment.
This position is responsible for overseeing and analyzing data to support program objectives. The Data Scientist will provide expertise in research and evaluation, collaborating with staff and stakeholders, and contributing to the development of effective data collection and analysis strategies. Additionally, the role includes preparing reports and presentations to communicate important insights and utilizing appropriate systems to manage and interpret data.
**Responsibilities**
+ Enter, clean, and perform advanced data manipulation and statistical analysis on program-related data
+ Provide subject matter expertise in program evaluation, research methodologies, and data analysis
+ Collaborate with POTFF program staff and the Government's biostatistician to ensure effective data management and analysis
+ Consult with and assist supported units and POTFF staff to identify opportunities and methods for capturing relevant program data
+ Prepare clear and accurate reports and presentations to communicate data trends and analytical findings
+ Access and utilize Government systems to enter, manage, and analyze data in support of program objectives
**Key Qualifications**
+ Master's or doctoral degree in quantitative science, social science, or a related discipline
+ Advanced proficiency with statistical software applications, e.g., SPSS, SAS, R, demonstrated through employment history and scientific publications
+ At least three years of research experience in academic, social services, government, healthcare, or laboratory settings
+ Proficiency with Microsoft Office programs, including Word, Excel, and Access
+ Excellent written and verbal communication skills
+ Strong attention to detail and organizational skills
+ Ability to effectively communicate orally and written
+ Ability to obtain and maintain a U.S. government security clearance
**Benefits: Live an Extraordinary Life**
We care about your well-being, not just on the job. Battelle offers comprehensive and competitive benefits to help you live your best life.
+ **Balance life through a compressed work schedule** : Most of our team follows a flexible, compressed work schedule that allows for every other Friday off-giving you a dedicated day to accomplish things in your personal life without using vacation time.
+ **Enjoy enhanced work flexibility, including a hybrid arrangement:** You have options for where and when you work. Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday and Tuesday as common in-office days, dependent on team and position needs.
+ **Take time to recharge** : You get paid time off to support work-life balance and keep motivated.
+ **Prioritize wellness** : Stay healthy with medical, dental, and vision coverage with wellness incentives and benefits plus a variety of optional supplemental benefits.
+ **Better together** : Coverage for partners, gender-affirming care and health support, and family formation support.
+ **Build your financial future** : Build financial stability with an industry-leading 401(k) retirement savings plan. For most employees, we put in 5 percent whether you contribute or not, and match your contributions on top of that.
+ **Advance your education** : Tuition assistance is available to pursue higher education.
**A Work Environment Where You Succeed**
For brilliant minds in science, technology, engineering and business operations, Battelle is the place to do the greatest good by solving humanity's most pressing challenges and creating a safer, healthier and more secure world.
You will have the opportunity to thrive in a culture that inspires you to:
+ Apply your talent to challenging and meaningful projects
+ Receive select funding to pursue ideas in scientific and technological discovery
+ Partner with world-class experts in a collaborative environment
+ Nurture and develop the next generation of scientific leaders
+ Give back to and improve our communities
**Vaccinations & Safety Protocols**
_Battelle may require employees, based on job duties, work location, and/or its clients' requirements to follow certain safety protocols and to be vaccinated against a variety of viruses, bacteria, and diseases as a condition of employment and continued employment and to provide documentation that they are fully vaccinated. If applicable, Battelle will provide reasonable accommodations based on a qualified disability or medical condition through the Americans with Disabilities Act or the Rehabilitation Act or for a sincerely held religious belief under Title VII of the Civil Rights Act of 1964 (and related state laws)._
_Battelle is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Battelle._
The above statements are intended to describe the nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, activities and skills required of staff members. **No statement herein is intended to imply any authorities to commit Battelle unless special written permission is granted by Battelle's Legal Department.**
For more information about our other openings, please visit ************************
Data Scientist I
San Diego, CA jobs
Battelle delivers when others can't. We conduct research and development, manage national laboratories, design and manufacture products and deliver critical services for our clients-whether they are a multi-national corporation, a small start-up or a government agency.
We recognize and appreciate the value and contributions of individuals from a wide range of backgrounds and experiences and welcome all qualified individuals to apply.
**Job Summary**
The Health Research and Analytics (HRA) business line is seeking a highly motivated, full-time **Data Scientist** to join our team in support of our government customer, U.S. Special Operations Command. This position will play a critical role in advancing the Preservation of the Forces and Family (POTFF) program, which is dedicated to optimizing and sustaining the mission readiness, longevity, and performance of Special Operations Forces (SOF). Through integrated and holistic human performance initiatives, POTFF strengthens both the Forces and their families, ensuring comprehensive support for those who serve. As a Data Scientist, you will contribute to impactful research and analytics that drive evidence-based decision-making and enhance the effectiveness of these vital programs. This is an exciting opportunity to make a meaningful difference in the lives of SOF personnel and their families while working in a dynamic, mission-driven environment.
This position is responsible for performing entry level analysis of program-related data, including building and maintaining databases and spreadsheets. The Data Scientist will collaborate with program staff and other stakeholders to identify effective data collection methods and provide guidance on data management. Additionally, the role involves preparing reports and presentations to communicate key findings and utilizing relevant systems to support data analysis and decision-making.
**Responsibilities**
+ Enter, clean, and perform basic manipulation and analysis of POTFF programmatic data
+ Build, maintain, and disseminate databases and spreadsheets to record POTFF-related information
+ Collaborate with POTFF program staff and the Government's biostatistician to ensure accurate data management and analysis
+ Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for effective data capture
+ Prepare reports and presentations that clearly communicate data trends and analysis results
+ Access and utilize Government systems to enter, manage, and analyze program data
+ Completes assigned project work within schedule and budget constraints
**Key Qualifications**
+ Bachelor's degree in quantitative science, social science, or a related discipline
+ Proficiency with Microsoft Office programs, including Word, Excel, and Access
+ Basic proficiency with commonly used statistical software applications (e.g., SPSS, SAS, R)
+ Excellent written and verbal communication skills
+ Strong attention to detail and organizational skills
+ Proficiency may be demonstrated through relevant work history, publications, or a combination of both
+ Ability to effectively communicate orally and written
+ Ability to obtain and maintain a U.S. government security clearance
**Benefits: Live an Extraordinary Life**
We care about your well-being, not just on the job. Battelle offers comprehensive and competitive benefits to help you live your best life.
+ **Balance life through a compressed work schedule** : Most of our team follows a flexible, compressed work schedule that allows for every other Friday off-giving you a dedicated day to accomplish things in your personal life without using vacation time.
+ **Enjoy enhanced work flexibility, including a hybrid arrangement:** You have options for where and when you work. Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday and Tuesday as common in-office days, dependent on team and position needs.
+ **Take time to recharge** : You get paid time off to support work-life balance and keep motivated.
+ **Prioritize wellness** : Stay healthy with medical, dental, and vision coverage with wellness incentives and benefits plus a variety of optional supplemental benefits.
+ **Better together** : Coverage for partners, gender-affirming care and health support, and family formation support.
+ **Build your financial future** : Build financial stability with an industry-leading 401(k) retirement savings plan. For most employees, we put in 5 percent whether you contribute or not, and match your contributions on top of that.
+ **Advance your education** : Tuition assistance is available to pursue higher education.
**A Work Environment Where You Succeed**
For brilliant minds in science, technology, engineering and business operations, Battelle is the place to do the greatest good by solving humanity's most pressing challenges and creating a safer, healthier and more secure world.
You will have the opportunity to thrive in a culture that inspires you to:
+ Apply your talent to challenging and meaningful projects
+ Receive select funding to pursue ideas in scientific and technological discovery
+ Partner with world-class experts in a collaborative environment
+ Nurture and develop the next generation of scientific leaders
+ Give back to and improve our communities
**Vaccinations & Safety Protocols**
_Battelle may require employees, based on job duties, work location, and/or its clients' requirements to follow certain safety protocols and to be vaccinated against a variety of viruses, bacteria, and diseases as a condition of employment and continued employment and to provide documentation that they are fully vaccinated. If applicable, Battelle will provide reasonable accommodations based on a qualified disability or medical condition through the Americans with Disabilities Act or the Rehabilitation Act or for a sincerely held religious belief under Title VII of the Civil Rights Act of 1964 (and related state laws)._
_Battelle is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Battelle._
The above statements are intended to describe the nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, activities and skills required of staff members. **No statement herein is intended to imply any authorities to commit Battelle unless special written permission is granted by Battelle's Legal Department.**
For more information about our other openings, please visit ************************
Senior Data Scientist, Science
Redwood City, CA jobs
The Team
CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.
Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow:
Building an AI-based virtual cell model to predict and understand cellular behavior
Developing state-of-the-art imaging systems to observe living cells in action
Instrumenting tissues to better understand inflammation, a key driver of many diseases
Engineering and harnessing the immune system for early detection, prevention, and treatment of disease
CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science.
As a Senior Data Scientist, you'll lead the creation of groundbreaking datasets that power our AI/ML efforts within and across our scientific grand challenges. Working at the intersection of data science, biology, and AI, your work will focus on creating large, AI-ready datasets, spanning single-cell sequencing, immune receptor profiling, and mass spectrometry peptidomics data. You will define data needs, format standards, analysis approaches and quality metrics and build pipelines to ingest, transform, and validate data products that form the foundation of our experiments.
Our Data Ecosystem:
These efforts will form a part of, and interoperate with CZI's larger data ecosystem. We are generating unprecedented scientific datasets that drive biological innovation:
Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations
10s of thousands of donor-matched DNA & RNA samples
10s PBs-scale static and dynamic imaging datasets
100s TBs-scale mass spectrometry datasets
Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act.
When analysis of a dataset is complete, you will help publish it through public resources like CELLxGENE Discover, the CryoET Portal, and the Virtual Cell Platform, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery.
Your Impact
You'll collaborate with cross-functional teams to lead dataset definition, ingestion, transformation, and delivery for AI modeling and experimental analysis. Success means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease.
What You'll Do
Contribute the tools required for a robust data ecosystem: build single cell data ingestion pipelines, select data formats, standards, and database schemas, and write validation tools, QC approaches, and analysis pipelines.
Collaborate with Platform Scientists, ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to improve our biological understanding of inflammation.
Work closely with Platform Scientists to identify technical variables and devise approaches to harmonize data across generation sites to enable joint analysis.
Discover and define new data generation opportunities, and manage the delivery of those data products to our scientific teams.
What You'll Bring
10+ years of experience with large scale high throughput biological data (single cell sequencing, immune receptor profiling, mass spectrometry).
Demonstrated ability to deliver multiple large biological data products.
Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis.
Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks
Strong fundamentals in statistical reasoning and machine learning.
Experience with biological data analysis and QC best practices
Excellent written and verbal communication skills.
Enthusiasm to ramp up on technologies and learn new domains.
Experience working in a multidisciplinary environment (scientific platforms, engineering, product, AI Research).
Compensation
The Redwood City, CA base pay range for this role is $190,000 - $261,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
Work Mode
As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
Benefits for the Whole You
We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Relocation support for employees who need assistance moving to the Bay Area
And more!
If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
Explore our work modes, benefits, and interview process at *******************************
#LI-Hybrid
Auto-ApplyHead of Data Science.
New York, NY jobs
Head of DS want to hire someone to be the head of DS - can coordinate between DS the pm's, must be hands on cuz team isn't bug enough to be a total manager. someone whose done this befoe on the buy side who comes from a place that has a good reputation
either really goods hands on, and have been snr and know data well ane can communicate well, we can bet on them to manage. must be snr enough that alex brandt wouldn't be upset reporting into.
Comp? 1 to 2 mm i told josh. over a year is an issue
DS - industrials / energy still open - lowest priority of everything
Jr - Mid Level Data Scientist
New York, NY jobs
Coatue Management is a technology-focused investment firm founded in 1999, with offices in New York City, Menlo Park, Los Angeles, Hong Kong and London. We manage $50+ billion in assets on behalf of individuals, nonprofit organizations and institutional investors.
Building on our heritage of public markets investing, Coatue's lifecycle investment platform has expanded across venture, growth, thematic, and structured capital strategies over the last decade. Our singular obsession with technology drives how we work as a firm. As investors, we seek out the greatest innovators with the biggest ideas. We are a founder-led firm dedicated to helping fellow founders build. At every stage, we champion the insights, connections, and experience that create world-shaping companies.
Data Science Team
Coatue's data science team works directly with the investment professionals on a daily basis and is integral in all current and future investments across the firm. Our goal is to track every component of the economy in real-time.
This encompasses projects such as:
Forecasting entries on a company's income statement via real-time alternative datasets
Tracking the launch of a new product and its impact on that company versus its competitors
Analyzing and decomposing stock market performance of various securities in different scenarios
Quantitatively screening for emerging venture-backed companies
Building shared tooling to improve the team's day-to-day workflow
Job Description
The data scientist role uses SQL, R, and data visualization to inform investment decisions. This role is based in our New York City office.
This is a generalist role that works across sectors, company stages, and datasets.
The ideal candidate is simultaneously very technical and a strong communicator, is eager to take on responsibility quickly, and can juggle multiple priorities.
Key skills include:
Proficient programming abilities, particularly with a dataframe-based library (data.table, dplyr, pandas)
Analysis and interpretation of data
Strong communication skills, needed to translate between technical projects and business stakeholders
Ability to manage multiple workstreams simultaneously
Minimum Requirements
Requires a bachelor's degree in a quantitative field (e.g. computer science, statistics, mathematics, economics) or a closely related field, or equivalent professional experience.
Key skills include:
Proficient programming abilities, particularly with a dataframe-based library (data.table, dplyr, pandas)
Analysis and interpretation of data
Strong communication skills, needed to translate between technical projects and business stakeholders
Ability to manage multiple workstreams simultaneously
Data Scientist Supervisor
Los Angeles, CA jobs
Salary Range: $9,852.82 - $13,278.10 Monthly
Data Scientist Supervisor (“The Director”) provides administrative and technical supervision to a unit responsible for development and maintenance of Information Technology (IT) systems, and data analytics and business intelligence initiatives for Community Programs (CP) within the Department of Health Services (DHS). Community Programs includes the Office of Diversion and Reentry, the Harm Reduction Division, CalAIM Housing and Reentry Initiatives and other programs that serve people who are justice-involved and/or experiencing homelessness. This position serves as the primary technical resources for data analytics and business intelligence and delivers reporting and evaluation that supports data-driven decision-making and improves operational efficiency, works with senior IT and program leadership to design, implement, and maintain data systems and analytics infrastructure, ensures the integration of CP data with data from multiple health, housing, and justice platforms; and defines the overall vision, governance, and strategy for data analytics, business intelligence, and IT integration within Community Programs.
Position requires expert knowledge of and experience in advanced data and statistical modeling and computational methods, statistical programming languages and packages, and big-data engineering solutions; and the ability to identify and resolve business needs and issues of strategic importance within the assigned department. The position will be a hybrid role, and the office is based in downtown Los Angeles.
ESSENTIAL FUNCTIONS of the Data Scientist Supervisor include, but are not limited to:
Plans, organizes, supervises, and evaluates complex data analytics, business intelligence and IT integration operations across Community Programs.
Develops, implements, and monitors large-scale data science and reporting projects from inception to deployment, ensuring objectives and outcomes are met in a timely manner
Supervises and mentors a diverse team of analysts and data scientists; supports training and development of technical skills; promotes continuous professional development; fosters a collaborative, high-performing work environment; and manages cross-department partnerships on data analytics.
Advises program leadership on analytics opportunities, emerging technologies, and strategic initiatives to improve operational efficiency and data-driven decision-making.
Directs the design, development, and maintenance of complex data systems that hold case management, healthcare and justice data, including the Comprehensive Health Accompaniment and Management Platform (CHAMP), the Diversion Database, and the LA County InfoHub. Oversees enhancements to ensure interoperability, usability, and performance. Leads the integration of the data systems with Community Programs' operations across health, housing and justice programs.
Works closely with CP leadership across programs to identify business needs and to define the overall strategy and vision for data analytics and IT integration, aligning with DHS and Countywide priorities in health, housing, and justice.
Collaborates with DHS' Chief Information Office and DHS Population Health Analytics, and other County departments to improve IT systems, large databases, data pipelines, and analytic tools that improve service delivery, operational efficiency, and program effectiveness.
Oversees the design and production of dashboards, performance reports, and analytics tools for internal and external stakeholders, including CP teams and contracted providers (e.g. community-based organizations), the Board of Supervisors, managed care plans, and the broader community.
Leads efforts to standardize data collection, analysis, and reporting practices across programs and providers.
Directs data governance, privacy, and security initiatives across Community Programs, ensuring compliance with DHS, County, and State requirements.
Works closely with the CP CalAIM team to support Medicaid claiming; oversees data management, reporting, and data quality assurance for Medicaid billing operations, including CalAIM Community Supports and Enhanced Care Management, and Specialty Mental Health Services and Drug Medi-Cal billing.
Implements and maintains data infrastructure projects, including creation of a CP data repository in InfoHub and integration of data from non-DHS sources
Serves as the technical liaison for system integrations with external data exchanges with other County Departments through the County's Infohub and with non-County partners through LANES (a Countywide Health Information Exchange) and other health information exchange platforms.
Oversees creation and implementation of data-sharing agreements and MOUs to expand data access and improve interdepartmental collaboration.
Oversees risk management, incident investigations, and IT security reviews related to CP data systems and reporting platforms.
Represents CP in Countywide data governance, oversight, and strategic planning committees.
Promotes innovation in data science and analytics through the exploration and implementation of machine learning, predictive modeling, and other advanced analytic methodologies.
JOB QUALIFICATIONS
Minimum Education/Experience
A Bachelor's degree from an accredited college or university in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field.
AND five (5) years of experience doing large-scale data integration, data reporting and analytics or IT business analysis; coordination or oversight of complex data science projects to support program, policy and operational decision-making and management; and data-driven program design, implementation, evaluation and quality improvement. That experience must include two (2) years supervising a team of a data science professionals.
A Master's or Doctoral degree in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field may substitute for up to two (2) years of experience.
Certificates/Licenses/Clearances
A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.
Successful clearing through the Live Scan process with the County of Los Angeles.
Other Skills, Knowledge, and Abilities
Strong leadership and management skills, with the ability to motivate and inspire a team.
Proven experience in data analysis and visualization tools, such as SQL, Excel, Tableau, Power BI, or similar tools.
Excellent analytical and problem-solving skills, with a strong attention to detail.
In-depth knowledge of statistical analysis techniques and methodologies
Proficiency in data modeling and data manipulation.
Strong business acumen and the ability to connect data insights to business objectives.
Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights.
Ability to work effectively in a fast paced, dynamic environment, managing multiple priorities and meeting deadlines.
Experience with cloud data platforms like MSFT Azure, AWS, Databricks, Snowflake, Google BigQuery.
Proven track record of delivering impactful insights and recommendations based on data analysis.
Demonstrated experience in developing and implementing analytics strategies in a corporate environment.
Strong understanding of data governance principles and practices.
Familiarity with data visualization best practices and tools.
Experience working with large datasets and using statistical analysis techniques.
Knowledge of programming languages such as Python or R is preferred.
Certification in relevant analytics tools or methodologies is a plus.
ONLINE APPLICATION REQUIREMENTS
At a minimum, candidates need to submit/upload electronic copies of a resume describing education to include training certifications, and relevant paid and volunteer experience - relevant to the essential job functions. Applications need to include legible copies of education diplomas/transcripts as applicable.
A cover introductory letter may be submitted while not required.
Legible copies of certificates to substantiate proficiency in skills, knowledge and abilities may be submitted.
Applications without supporting documentation at the time of application or no more than 5 business days after the initial application will not be included in the candidate pool.
Review of job description at *************************************** is suggested, especially if applying to the position from a third-party online application.
PHYSICAL DEMANDS
Stand Frequently
Walk Frequently
Sit Frequently
Handling Occasionally
Reach Outward Occasionally
Reach Above Shoulder Occasionally
Climb, Crawl, Kneel, Bend Occasionally
Lift / Carry Occasionally - Up to 35 lbs
Push/Pull Occasionally - Up to 35 lbs
See Constantly
Taste/ Smell Not Applicable
Not Applicable Not required for essential functions
Occasionally (0 - 2 hrs/day)
Frequently (2 - 5 hrs/day)
Constantly (5+ hrs/day)
WORK ENVIRONMENT
General Office Setting, Indoors Temperature Controlled
EEOC STATEMENT
It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.
Data Scientist, Ambulatory Transformation & Performance
Los Angeles, CA jobs
General Information Press space or enter keys to toggle section visibility Onsite or Remote Flexible Hybrid Work Schedule Monday-Friday 8am-5pm Posted Date 10/18/2024 Salary Range: $105700 - 234500 Annually Employment Type 2 - Staff: Career
Duration
Indefinite
Job #
19946
Primary Duties and Responsibilities
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The Data Scientist plays a pivotal role in transforming raw data into actionable insights that drive the efficient operation of ambulatory clinics. This position involves advanced data modeling, statistical analysis, and the application of machine learning techniques to identify trends, optimize performance, and support data-driven decision-making. The Data Scientist will design and maintain robust data models, develop predictive models, and collaborate with stakeholders to interpret complex data sets. The role requires expertise in data analysis, a strong understanding of healthcare data, and a commitment to enhancing the financial viability and operational efficiency of ambulatory clinics.
* Develop, refine, and maintain complex data models that support ambulatory operations, ensuring data accuracy and consistency.
* Apply statistical analysis and machine learning techniques to analyze large datasets, identify trends, and generate predictive insights.
* Design and implement predictive models to forecast key performance indicators, patient outcomes, and ambulatory operational efficiencies.
* Create and validate algorithms for data mining, cleansing, and transformation to enhance data usability
* Lead or participate in projects focused on enhancing data infrastructure, analytical capabilities, and reporting frameworks.
* Explore and implement innovative data science techniques and tools to address complex challenges in ambulatory operations.
* Stay current with advancements in data science and healthcare analytics, applying new methods and technologies to improve performance and outcomes.
* Work closely with cross-functional teams, including IT, clinical, and business stakeholders, to understand data needs and deliver actionable insights.
* Present findings and recommendations to leadership and other stakeholders in a clear, concise, and actionable manner.
* Provide guidance and mentorship to analysts within the team
* Lead efforts in data integration, ensuring seamless interoperability between multiple data sources and systems
* Enforce data governance standards, including data quality, metadata management, and data security protocols.
* Develop and manage ETL (Extract, Transform, Load) processes to curate data from various sources into structured formats suitable for analysis.
* Document and maintain data lineage, ownership, and access requirements, ensuring compliance with healthcare regulations
salary range: $102500-$227700
*
Job Qualifications
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Required Skills and Experience:
* Bachelor's degree in a related field or equivalent experience/training.
* Minimum of 3+ years of experience in a healthcare-related organization, with a strong understanding of healthcare data and operations
* Minimum of 5 years of experience with Python or R for data analysis, modeling, and machine learning applications.
* Proven expertise in data modeling, information design, and data integration.
* Advanced knowledge of data management systems, practices, and standards.
* Experience with complex data quality, governance issues, and data conversion.
* Strong analytical and problem-solving skills with attention to detail.
* Ability to abstract and represent information flows in systems through effective modeling.
* Excellent communication and interpersonal skills, with a demonstrated ability to work collaboratively across diverse teams.
Preferred Skills:
* Experience with Databricks, including managing and processing large datasets in a distributed environment.
* Experience with Azure DevOps, including managing workflows, version control, and collaborative project management.
Data Scientist, Ambulatory Transformation & Performance
Los Angeles, CA jobs
The Data Scientist plays a pivotal role in transforming raw data into actionable insights that drive the efficient operation of ambulatory clinics. This position involves advanced data modeling, statistical analysis, and the application of machine learning techniques to identify trends, optimize performance, and support data-driven decision-making. The Data Scientist will design and maintain robust data models, develop predictive models, and collaborate with stakeholders to interpret complex data sets. The role requires expertise in data analysis, a strong understanding of healthcare data, and a commitment to enhancing the financial viability and operational efficiency of ambulatory clinics.
+ Develop, refine, and maintain complex data models that support ambulatory operations, ensuring data accuracy and consistency.
+ Apply statistical analysis and machine learning techniques to analyze large datasets, identify trends, and generate predictive insights.
+ Design and implement predictive models to forecast key performance indicators, patient outcomes, and ambulatory operational efficiencies.
+ Create and validate algorithms for data mining, cleansing, and transformation to enhance data usability
+ Lead or participate in projects focused on enhancing data infrastructure, analytical capabilities, and reporting frameworks.
+ Explore and implement innovative data science techniques and tools to address complex challenges in ambulatory operations.
+ Stay current with advancements in data science and healthcare analytics, applying new methods and technologies to improve performance and outcomes.
+ Work closely with cross-functional teams, including IT, clinical, and business stakeholders, to understand data needs and deliver actionable insights.
+ Present findings and recommendations to leadership and other stakeholders in a clear, concise, and actionable manner.
+ Provide guidance and mentorship to analysts within the team
+ Lead efforts in data integration, ensuring seamless interoperability between multiple data sources and systems
+ Enforce data governance standards, including data quality, metadata management, and data security protocols.
+ Develop and manage ETL (Extract, Transform, Load) processes to curate data from various sources into structured formats suitable for analysis.
+ Document and maintain data lineage, ownership, and access requirements, ensuring compliance with healthcare regulations
salary range: $102500-$227700
Qualifications
Required Skills and Experience:
+ Bachelor's degree in a related field or equivalent experience/training.
+ Minimum of 3+ years of experience in a healthcare-related organization, with a strong understanding of healthcare data and operations
+ Minimum of 5 years of experience with Python or R for data analysis, modeling, and machine learning applications.
+ Proven expertise in data modeling, information design, and data integration.
+ Advanced knowledge of data management systems, practices, and standards.
+ Experience with complex data quality, governance issues, and data conversion.
+ Strong analytical and problem-solving skills with attention to detail.
+ Ability to abstract and represent information flows in systems through effective modeling.
+ Excellent communication and interpersonal skills, with a demonstrated ability to work collaboratively across diverse teams.
Preferred Skills:
+ Experience with Databricks, including managing and processing large datasets in a distributed environment.
+ Experience with Azure DevOps, including managing workflows, version control, and collaborative project management.
UCLA Health welcomes all individuals, without regard to race, sex, sexual orientation, gender identity, religion, national origin or disabilities, and we proudly look to each person's unique achievements and experiences to further set us apart.
Sr. Data Scientist - Evaluation Agenda Manager (N383)
Los Angeles, CA jobs
Salary Range: $9,333.00 - $12,576.46 Monthly
Housing for Health (HFH) is a program office within Community Programs, a division under the Los Angeles County Department of Health Services (DHS). HFH was created and put into implementation in support of the Los Angeles County Homeless Initiative recommendations in response to and in support of the County's effort to address and combat homelessness in the communities residing within Los Angeles County. Our organization follows a hybrid work structure where employees work both remotely and from the office, as needed.
On November 5, 2024, LA County voters approved Measure A, a ballot initiative to implement a half-cent sales tax to fund homelessness solutions. Measure A is expected to generate over $1 Billion annually in perpetuity, 1.25% of which is distributed to Accountability, Data, and Research. Among the required research activities is the establishment and management of an Annual Evaluation Agenda (AEA), which will produce internal and external evaluations to test the causal impact of Measure A investments on desired outcomes. Those evaluations will include third-party evaluators selected through requests for proposals and must include voices with relevant lived experience. They are intended to shape decision-making around Measure A investments and drive continuous improvement and innovation.
The Evaluation Agenda Manager reports to the Director of Data Analytics and Evaluation at Community Programs and is responsible for managing the AEA and the evaluations connected to it. For an evaluation professional, this is an opportunity for large, measurable impact to improve the lives of Los Angeles County's most vulnerable people. The Measure A AEA represents a once-in-a-generation opportunity to improve how the County uses millions of dollars dedicated to housing people and preventing homelessness. With equity, accountability, and innovation at its core, the agenda will shape how Los Angeles County learns from its investments, adapts its strategies, and delivers on its promise to address homelessness systemically and transparently.
This role requires an experienced, strategic project manager with a strong understanding of quantitative and qualitative evaluation design, causal inference methodology, contracting processes, and public sector stakeholder engagement and communication. The ideal candidate will have a strong background in evaluation methodology and be detail-oriented, communicative, and able to manage multiple streams of work simultaneously. A commitment to establishing strong community partnerships is equally important, and knowledge of homelessness services systems and programs is desirable.
ESSENTIAL FUNCTIONS
Lead the coordination and management of the Measure A Evaluation Agenda, supporting the Director of Data Analytics and Evaluation in developing, maintaining, and updating the agenda in alignment with Measure A requirements.
Review and assess causal impact evaluations, ensuring research designs are capable of answering the questions they pose in terms of statistical precision and causal identification.
Manage the planning, scheduling, and facilitation of community and stakeholder engagement processes, including executive governance bodies, County departments and agencies, community-based organizations, and people with lived experience of homelessness.
Drive forward the publication of the AEA, helping bring together diverse recommendations for its direction, develop actionable research questions and research strategies in response to community and leadership input, and prioritize questions around a timeline and roadmap for implementation.
Support the procurement and management of evaluation contracts: draft requests for proposals, scopes of work, monitor deliverables, provide technical feedback on interim deliverables (such as analysis plans and draft reports) to contractors, escalate issues when needed.
Track and report on progress across multiple ongoing evaluations, synthesizing findings and presenting updates to leadership and the community. These summaries of findings should identify pathways for action and impact to improve system performance.
Coordinate the development and execution of Data Sharing Agreements (DSAs), Memoranda of Understanding (MOUs), Institutional Review Board (IRB) reliance agreements, and other legal and institutional agreements required for evaluation work.
Draft, revise, and publish version-controlled evaluation agenda documents annually, in collaboration with evaluation staff, contractors, and external stakeholders.
Contribute to the design and oversight of internal evaluation initiatives.
Ensure that all evaluation work reflects Measure A principles of equity, transparency, accountability, and innovation.
JOB QUALIFICATIONS
Option I: Two (2) years of experience carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management, at a level equivalent to the Los Angeles County class of Data Scientist.
Option II: A Bachelor's degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, Public Health, or Public Administration that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis -AND- Six (6) years of experience, including two (2) years in a lead capacity, applying and overseeing the application of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to make actionable recommendations to support program, policy, and operational decision-making. A Master's or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, Public Health, or Public Administration may substitute for up to two (2) years of experience.
Education/Experience
Masters degree or Ph.D. covering quantitative causal inference and evaluation methods strongly preferred (political science, public policy, public administration, sociology, public health, economics, etc.)
Familiarity with homeless services systems and programs
Demonstrated experience with contract management and project coordination, including writing scopes of work, overseeing vendors, and tracking deliverables
Strong understanding of causal inference and evaluation design, including power analysis, quasi-experimental methods, randomized trial design, and meta-analysis
Familiarity with additional evaluation methodologies, including qualitative methods, process-tracing, focus groups, participatory research principles, implementation science preferred
Familiarity with public-sector contracting and procurement processes
Experience managing stakeholder engagement, including close community engagement with marginalized populations
Experience coordinating DSAs / MOUs / IRB protocols a plus
Experience writing policy or evidence briefs summarizing research findings for non-technical decision-makers
Commitment to advancing equity and using data to support transparency and continuous improvement
Ability to translate complex evaluation findings into actionable insights that inform policy and countywide strategic planning
Familiarity with continuous process improvement and related project management methodologies
Certificates/Licenses/Clearances
A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.
Successful clearing through the Live Scan process with the County of Los Angeles.
Other Skills, Knowledge, and Abilities
Knowledge of homeless services systems, housing programs, and County governance structures
Proficient in data visualization tools (e.g. Power Bi, Tableau, etc.)
Familiarity with project management tools (e.g. Jira, Trello, Airtable, etc.)
Familiarity with statistical software (e.g. R, Stata, Python, SAS, etc.) and cloud-based analytic tools (e.g. Databricks, Redshift, Bigquery)
Familiarity with statistical power analysis and proficiency in statistical reasoning
Strong facilitation skills for multi-stake holder discussions with government, community-based organizations, and individuals with lived experience of homelessness
PHYSICAL DEMANDS
Stand: Not Applicable
Walk: Not Applicable
Sit: Frequently
Reach Outward: Occasionally
Reach Above Shoulder: Occasionally
Climb, Crawl, Kneel, Bend: Occasionally
Lift / Carry: Occasionally - Up to 15 lbs
Push/Pull: Occasionally - Up to 15 lbs
See: Constantly
Taste/ Smell: Not Applicable
Not Applicable = Not required for essential functions
Occasionally = (0 - 2 hrs/day)
Frequently = (2 - 5 hrs/day)
Constantly = (5+ hrs/day)
WORK ENVIRONMENT
General Office Setting, Indoors Temperature Controlled
EEOC STATEMENT
It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.