Data Scientist jobs at System One

ABOUT OUR CLIENT Our Client is a leading private equity firm with a portfolio of upstream gas production companies. By combining petroleum engineering expertise with advanced data analytics, artificial intelligence (AI), and machine learning (ML), Our Client is driving the digital transformation of upstream operations. With a diverse set of assets and a strong focus on innovation, this role provides the opportunity to shape the future of gas production and forecasting through cutting-edge technology. ABOUT THE ROLE The Petroleum Data Engineer will play a critical role in leveraging data to solve complex engineering challenges, optimize production, and drive operational efficiency across portfolio companies. This individual will build innovative data products, develop and deploy AI/ML models, automate workflows, and collaborate with engineering teams to unlock new insights. The role is ideal for a professional passionate about merging petroleum engineering expertise with modern data science to deliver measurable business impact. RESPONSIBILITIES Develop, optimize, and maintain data pipelines to automate upstream gas production and forecasting workflows Implement scalable data solutions to support monitoring, reservoir management, and efficiency initiatives Integrate structured and unstructured data from sensors, logs, and well data into production systems Design and deploy AI/ML models for production forecasting, reservoir simulation, and failure prediction Analyze historical and real-time production data to identify trends and optimization opportunities Collaborate with domain experts to align AI/ML models with engineering principles and field use cases Build and deploy data products in partnership with digital and engineering teams across portfolio companies Serve as a technical advisor to portfolio companies on data analytics and digital transformation initiatives Develop user-friendly dashboards and interfaces for data visualization and stakeholder engagement Ensure data quality, accuracy, and consistency across all pipelines and products Implement governance policies to secure sensitive production data and meet industry regulations Stay current with emerging technologies in petroleum data analytics, AI, and ML to drive innovation QUALIFICATIONS Bachelor's, Master's, or PhD in Petroleum Engineering, Data Science, Computer Science, or related field Five or more years of experience in upstream oil and gas, with a focus on gas production and forecasting Proven track record applying AI and ML to solve petroleum engineering challenges Proficiency in Python, R, or similar programming languages for data analytics and ML Hands-on experience with frameworks such as TensorFlow, PyTorch, or scikit-learn Strong understanding of upstream workflows, including reservoir simulation and optimization Experience with cloud platforms such as Azure, AWS, or Google Cloud, and tools like Databricks or Synapse Ability to build dashboards and visualizations using Power BI, Spotfire, or similar platforms PREFERRED QUALIFICATIONS Knowledge of digital oilfield technologies, IoT integration, and real-time data processing Experience with data governance frameworks and tools such as Microsoft Purview Familiarity with industry datasets and platforms including Enverus or IHS SOFT SKILLS Strong problem-solving abilities and innovative mindset Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders Collaborative approach to working across diverse teams and organizations WHAT YOU WILL ACHIEVE Deliver data-driven solutions that optimize gas production and forecasting across portfolio companies Enable portfolio companies to adopt AI/ML and advanced analytics as a competitive advantage Contribute to the digital transformation of upstream operations, shaping the future of the energy industry

ABOUT OUR CLIENT Our Client is a privately held, well-capitalized energy company based in Fort Worth, Texas with a strong track record of success across upstream, midstream, and mineral operations throughout the United States. The leadership team is composed of highly experienced professionals who have worked together across multiple ventures and basins. They are committed to fostering a collaborative, high-integrity culture that values intellectual curiosity, accountability, and continuous improvement. ABOUT THE ROLE Our Client is seeking a skilled and motivated Data Engineer to join their growing technology team. This role plays a key part in managing and optimizing data systems, designing and maintaining ETL processes, and improving data workflows across departments. The successful candidate will have deep technical expertise, a strong background in database architecture and data integration, and the ability to collaborate cross-functionally to enhance data management and accessibility. Candidates with extensive experience may be considered for a Senior Data Engineer title. RESPONSIBILITIES Design, implement, and evolve database architecture and schemas to support scalable and efficient data storage and retrieval. Build, manage, and maintain end-to-end data pipelines, including automation of ingestion and transformation processes. Monitor, troubleshoot, and optimize data pipeline performance to ensure data quality and reliability. Document all aspects of the data pipeline architecture, including data sources, transformations, and job scheduling. Optimize database performance by managing indexing, queries, stored procedures, and views. Develop frameworks and tools for reusable ETL processes and efficient data handling across formats such as CSV, JSON, and Parquet. Ensure proper version control and adherence to coding standards, security protocols, and performance best practices. Collaborate with cross-functional teams including engineering, operations, land, finance, and accounting to streamline data workflows. QUALIFICATIONS Excellent verbal and written communication skills. Strong organizational, analytical, and problem-solving abilities. Proficient in Microsoft Office Suite and other related software. Experienced in programming languages such as R, Python, and SQL. Proficient in making and optimizing API calls for data integration. Strong experience with cloud platforms such as Azure Data Lake, Azure Data Studio, Azure Databricks, and/or Snowflake. Proficient in CI/CD principles and tools. High integrity, humility, and a strong sense of accountability and teamwork. A self-starter with a continuous improvement mindset and passion for evolving technologies. REQUIRED EDUCATION AND EXPERIENCE Bachelor's degree in computer science, software engineering, or a related field. 2+ years of experience in data engineering, database management, or software engineering. Master's degree or additional certification a plus, but not required. Exposure to geospatial or GIS data is a plus. PHYSICAL REQUIREMENTS Prolonged periods of sitting and working at a computer. Ability to lift up to 15 pounds occasionally. *********************************************************************************** NO AGENCY OR C2C CANDIDATES WILL BE CONSIDERED VISA SPONSORSHIP IS NOT OFFERED NOR AVAILABLE FOR H1-B NOR F1 OPT ***********************************************************************************

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.

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.

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.

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.

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.

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.

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 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.

America Votes works year-round to build a more representative democracy, strengthen every American's right to vote, and win elections in key states. America Votes leads a robust, growing coalition of more than 400 progressive organizations across the country, building coordinated plans and executing shared strategies to win elections. America Votes provides a range of services to partners, including strategic planning, advocacy and electoral campaign coordination, data tools and targeting services, and on-the-ground leadership in states. For more than 20 years, America Votes has been the common link between many of the most influential and impactful issue and membership organizations in the country, serving as the coordination hub of the progressive community. America Votes' work has brought together a wide range of causes and built a unified coalition that has transformed how the progressive community works. Together, America Votes and its partners have engaged communities across the country to act on critical issues - from fighting for working families, to defending reproductive freedom, to protecting the environment, and more - and mobilized millions of voters. Racial Equity Statement As a leader of collaborative efforts to mobilize voters, protect voting rights, and win elections, America Votes is committed to advancing racial equity within our organization and across our coalition. We acknowledge the systematic racism that permeates all facets of our society, including the right to vote. America Votes is also engaging with an understanding of the ways gender, sexuality and other forms of oppression intersect with race and how those relationships impact inequities our staff, our partners, and the communities that we engage in our work face. America Votes strives to model our commitment to racial equity through our internal and external operations, programs, and partnerships. We acknowledge the inequitable structures that continue to exist and are moving forward with a sustained commitment in time, resources and people to challenge structural racism and work towards creating a reflective organization and democracy. Position Description America Votes is looking for a Data Scientist to join our Analytics team for the 2026 cycle and beyond. The ideal candidate is an experienced professional who has prior experience as a data scientist or analyst in an electoral context, a strong foundation in statistics and machine learning, and a vision for how we can use data to answer key questions around targeting, program logistics, and resource allocation such as: How can we estimate the likelihood of a given voter seeing a message from our coalition across modes such as field, mail, phones, digital, and TV? Where should we recommend our partners open their offices to maximize the geographic reach of our coalition's program? Our analytics team already includes a Data Analyst, who focuses on data visualization and voter contact reporting, and an Analytics Engineer, who transforms our voter contact and voter file data into base tables using dbt. For the Data Scientist role, we're looking for a teammate who can expand our analysis toolkit, using statistics and machine learning to help us deliver new insights faster and with more rigor. This is a permanent position that reports to the Deputy National Data and Targeting Director and is union-eligible. Responsibilities Lead analysis projects from ideation to presentation: Work with AV staff across departments to understand questions, plan and execute analyses, and share results with compelling decks, memos, and visualizations. Bring new methods to old questions: Use machine learning to analyze data at a national scale and surface new insights about program strategy and tactics. Proactively look for ways to improve existing products and systems with an eye toward automation and rigor. Collaborate with teammates from analytics, data support, and engineering to implement changes. Evaluate and produce guidance about the predictive models we use in our voter contact work, with a particular focus on race equity considerations. Serve as an analytics leader and coach: Stay up to date with research and best practices. Pitch in to pair program, train staff, or write code for projects that could benefit from more advanced methods. Ensure that racial equity is integrated into all parts of our data work, and proactively look for ways to advance America Votes's organizational commitment to race equity. Additional duties as assigned. Qualifications Must Haves At least two cycles of experience in a data role at a political campaign or at a progressive organization, especially as an analyst, engineer, or data scientist. Expert SQL skills - you should have worked in a cloud data warehouse before and be comfortable writing and optimizing complex queries, but also have a sense of when SQL isn't the right tool for the job. Very strong R or Python skills - you should have lots of experience writing code that is clean, modular, and well documented. Track record of using statistics and machine learning to deal with messy data and solve complex problems at scale, from selecting the right method to implementing and explaining your results to stakeholders. A balance of creativity and solid data science foundations - our projects don't lend themselves to off-the-shelf machine learning solutions, so we often need to evaluate and combine multiple methods. A service oriented approach to data work that prioritizes collaboration, supporting staff and partners, centering equity, and building for the long term. Ability to work irregular campaign style hours and travel as needed, especially during the peak months of the electoral cycle. Nice to Haves Deeper or broader experience with statistics or machine learning, especially for geospatial data, causal inference, or principal component analysis. Past work creating complex data products, bonus points if you've used Streamlit or similar frameworks to build products beyond a typical dashboard. Experience scaling and productionizing machine learning models (MLOps, automating new data ingestion and model updates). Hiring Process Hiring Manager Resume Review Initial Hiring Manager Interview (30 min) Technical Assessment (flexible scheduling, not more than 4 hours) Final Interview (45 minutes) Reference Check and Social Media Vetting Location This position is hybrid and the location is flexible. Some travel and reasonable access to an airport is required. America Votes has offices located in DC and AZ, CO, FL, GA, MI, MN, NC, NH, NM, NV, OH, PA, and WI. America Votes is currently working in a hybrid fashion. Compensation The salary for this position will be between $100,000 - $115,000 and depend upon the applicant's experience. America Votes offers a competitive benefits package covering 100% of employee medical, dental, & vision insurance premiums, life insurance, long term disability coverage, a monthly cell phone stipend, personal professional development funds, parental leave, and 401 (K) after four months of continuous service with the organization. America Votes provides a generous paid time off policy including paid vacation; paid sick leave and personal days; at least 10 Federal paid holidays including Juneteenth; and paid organizational time off from at least December 25 to January 1. This position is represented by the America Votes Workers Union. To Apply Please submit a copy of your resume, a cover letter and three references to the application form on our website. Please note that only applications received through the application form on our website will be considered; please do not email us your application materials. America Votes is an equal opportunity employer committed to a diverse, inclusive and equitable workplace. America Votes does not discriminate on the basis of race, color, creed, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, veteran status or any other protected category under local, state or federal law. People of color, LGBTQ candidates, individuals with disabilities, and neurodivergent individuals are strongly encouraged to apply.

Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures. Job Specific Duties * Applies machine learning, natural language processing, and AI techniques to analyze structured and unstructured healthcare data, including clinical, genomics, and operational datasets. * Develops predictive models integrating multi-omics data (genomics, proteomics), biomarkers, and clinical outcomes to support precision medicine and personalized care pathways. * Builds scalable data pipelines and connects complex healthcare data using graph database technologies (e.g., property graphs) to uncover hidden relationships across patients, treatments, and outcomes. * Collaborates with data engineering and IT teams to operationalize models for real-time decision support, risk stratification, and resource optimization across clinical and business operations. * Develops and validates predictive models to support clinical decision support, risk stratification, and outcome prediction for pediatric patient populations. * Ensures all analytical activities comply with healthcare regulations, institutional policies, and research ethics requirements, including proper handling of protected health information. * Partners with clinicians, researchers, and administrators to understand analytical needs, translate requirements into technical solutions, and communicate effectively. * Maintains comprehensive documentation of analytical methods, validate analytical approaches, and ensure reproducibility of research findings. * Provides technical expertise and training team members on data analysis techniques and healthcare analytics best practices. Minimum Job Requirements * Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Biostatistics, Bioinformatics, ore related quantitative field. (Required) * 3-5 years of experience in data science with demonstrated experience in healthcare or life sciences environments. * Experience working with healthcare data, including electronic health records (EHR), clinical databases and/or ERP data. * Proven track record of applying statistical analysis and machine learning techniques to real-world healthcare and healthcare operational problems. Knowledge, Skills, and Abilities * Master's degree in related quantitative fields is preferred. * Proficiency in programming languages such as Python, R, and SQL for data analysis and modeling is required. * Strong knowledge of statistical modeling, machine learning, and data visualization techniques. * Familiarity with LLMs and foundation models for natural language processing and clinical data analytics. * Familiarity with graph data platforms (e.g., Neo4j, Amazon Neptune) and vector databases (e.g., Pinecone). Experience with precision medicine initiatives, genomics data, or personalized healthcare analytics. * Experience with distributed computing, big data frameworks, and cloud platforms (e.g., Azure, AWS, GCP). * Familiarity with healthcare information systems and EHR platforms. * Experience with data integration from multiple healthcare sources. * Understanding of healthcare regulations including HIPAA, FDA guidelines, and clinical research compliance requirements. * Familiarity with medical coding systems (ICD-10, CPT, SNOMED). * Excellent written and verbal communication skills with ability to present complex analytical findings clearly to technical and non-technical audience. * Ability to work effectively in interdisciplinary teams with clinicians, researchers, and IT professionals. * Skilled at translating business requirements into technical solutions. * Strong attention to detail and commitment to data accuracy and integrity. * Ability to manage multiple projects simultaneously and meet deadlines. * Ability to work independently while collaborating effectively with team members.

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

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

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.

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 Press space or enter keys to toggle section visibility 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 Press space or enter keys to toggle section visibility 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.

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.

The Assessment Data Scientist serves as the Assessor's Office senior data science expert, leading the design, implementation, and oversight of advanced Computer-Assisted Mass Appraisal (CAMA) and Automated Valuation Models (AVMs). This role applies predictive analytics, statistical modeling, and machine learning to improve the accuracy, transparency, and efficiency of property valuations in alignment with statutory deadlines, Division of Property Taxation guidelines, and IAAO standards. The position ensures equitable valuation by identifying market trends, detecting anomalies, and improving data quality through collaboration with appraisal, GIS, and IT teams. Additionally, the role translates complex modeling results into clear, actionable insights for leadership, stakeholders, and the public, while mentoring staff to build organizational capacity in advanced analytics. * Serve as a senior-level data science and modeling expert in the Assessor's Office, responsible for developing and managing advanced Computer-Assisted Mass Appraisal (CAMA) and automated valuation models (AVMs). * Design and implement predictive analytics and machine learning models to enhance accuracy, transparency, and efficiency in property valuation processes. * Ensure compliance with statutory property valuation deadlines, Division of Property Taxation (DPT) guidelines, and International Association of Assessing Officers (IAAO) standards through data-driven modeling and quality control. * Lead the development of scalable statistical and machine learning solutions to identify market trends, detect anomalies, and support equitable valuation of all property types. * Collaborate with appraisal, GIS, and IT teams to improve data quality, leverage automation, and integrate cutting-edge analytics into existing workflows. * Translate complex modeling outputs into actionable insights for leadership, stakeholders, and the public. * Develop, implement, and maintain advanced AVMs and CAMA models using multiple regression, machine learning algorithms, and predictive analytics techniques. * Perform ratio studies, time trend analysis, and depreciation modeling using both traditional statistical methods and advanced AI-driven approaches. * Analyze large-scale datasets from CAMA systems, GIS platforms, and external sources to uncover patterns, drivers of value, and predictive variables. * Build and deploy interactive dashboards and visual analytics tools (Tableau, Power BI) to communicate key insights and support decision-making. * Monitor evolving Division of Property Taxation (DPT) guidelines, IAAO standards, and emerging technologies to ensure compliance and maintain innovation in valuation practices. * Implement continuous model performance testing, error analysis, and recalibration to improve predictive accuracy and reduce bias. * Support automation strategies and process improvements for mass appraisal through scripting, APIs, and integration with enterprise systems. * Train and mentor staff on data literacy, advanced analytics, and machine learning applications in property valuation. * Present modeling outcomes and predictive insights to management and public stakeholders in a clear, accessible format. * Perform other related duties as assigned to enhance data-driven operations within the Assessor's Office. Knowledge Of: * Advanced statistical modeling, predictive analytics, and machine learning concepts applied to mass appraisal and property valuation. * Automated Valuation Models (AVMs), CAMA systems, and modern data science methodologies. * Programming languages and analytics tools such as Python, R, SQL, and relevant machine learning libraries (e.g., scikit-learn, TensorFlow). * Geographic Information Systems (GIS) and spatial analytics tools (e.g., ESRI ArcGIS). * Data visualization and reporting platforms such as Tableau or Power BI for business intelligence and decision support. * Industry standards and ethics set by the International Association of Assessing Officers (IAAO) and state property assessment regulations. Skill To: * Design and implement machine learning models, predictive algorithms, and regression-based valuation models for large datasets. * Leverage automation and scripting (e.g., Python, R) to streamline workflows and improve operational efficiency. * Develop interactive dashboards, predictive tools, and advanced analytics visualizations. * Communicate complex technical results clearly to leadership, staff, and non-technical stakeholders. Ability To: * Apply advanced data science techniques to real-world property valuation challenges. * Lead data-driven initiatives and mentor staff on modern analytics and modeling practices. * Work under pressure to meet statutory deadlines without compromising model accuracy and compliance. * Build cross-functional partnerships with appraisal, GIS, and IT teams to deliver innovative solutions. * Understand, interpret, and communicate state rules and regulations and tax code guidelines. * Translate technical concepts into actionable business strategies for public transparency and equity in valuation. Any combination of experience and training that would likely provide the required knowledge and abilities is qualifying. A typical way to obtain the knowledge and abilities would be: Experience: Six (6) years of increasingly responsible related data collection, process analysis/mapping, research, and statistical analysis experience, including a minimum of two (2) years' related work experience in property tax assessment or a similar field. Education and Training: * Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. * A Master's degree is preferred and may substitute 2 years' required experience, excluding work in property tax assessment. License or Certificate: None. Background Check: Must pass a criminal background check. Other: State Residency: At the time of appointment, candidate must be a legal resident of the state of Colorado.

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners. Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society. Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large. As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results. As a Data Scientist, you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will have the opportunity to contribute to multiple projects and multiple phases of the solution life cycle including solution design and implementation. Key Responsibilities Experience in the full ML lifecycle - understanding, developing, deploying, and maintaining traditional data science solutions. Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks. Strong programming skills in Python or PySpark. Solid understanding of supervised + unsupervised learning algorithms and concepts. Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised + unsupervised learning algorithms and concepts. Experience in the optimization and tuning of machine learning solutions to handle large volumes of data. Outstanding verbal and written communication skills. Excellent presentation and whiteboarding skills. Experience communicating highly technical concepts to non-technical audiences. Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements. Skills, Knowledge and Expertise Bachelor's degree in computer science or related field Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory. AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus Experience with GitHub or Azure DevOps Prior consulting and business development experience a plus.