Senior data scientist jobs in Baltimore, MD - 2,059 jobs

A leading financial services firm in McLean, Virginia, is seeking experienced data analysts to leverage their quantitative expertise in building machine learning models. The ideal candidate will have a Bachelor's, Master's, or PhD in a quantitative field and at least 5 years of relevant experience. Responsibilities include collaborating with various teams to deliver products and translating complex data insights into business objectives. Capital One offers a supportive benefits package to promote well-being. #J-18808-Ljbffr

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. 10040 Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent - 3+ years of cloud architecture and solution implementation experience - 3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift. - Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing. - Current, active US Government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred. - Experience with automation and scripting (e.g., Terraform, Python). - Knowledge of security and compliance standards (e.g., HIPAA, GDPR). - Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda. - Experience with non-relational databases and implementing data governance solutions. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Data Scientist Indev is seeking a Data Scientist with 6+ years of experience to support our AI/ML, advanced analytics, and data visualization initiatives. This role will be instrumental in analyzing, visualizing, and communicating data insights that drive key business decisions. The ideal candidate will have strong technical skills in Python, SQL, Tableau, and AWS Cloud, as well as excellent communication and presentation abilities. This is a direct-hire, full-time position with salary and benefits. Indev provides a comprehensive benefits package, including Medical, Dental, Vision, 401k with match, Flexible Spending Account, and Paid Time Off (PTO)-including vacation and holiday pay. Your future duties and responsibilities: Data Analytics and Business Intelligence: Analyze large and complex data sets to uncover insights and support decision-making. Partner with stakeholders to define analytical needs and deliver actionable solutions. Develop and maintain data models to support advanced analytics initiatives. Data Visualization and Reporting: Design and create interactive dashboards and reports using Tableau. Present findings in a clear, concise manner tailored to both technical and non-technical audiences. Support data storytelling through compelling visualizations that communicate trends and patterns. Data Extraction and Management: Write complex SQL queries for data extraction, transformation, and loading (ETL) tasks. Work with relational databases (e.g., PostgreSQL, MySQL, NoSQL) to support data integrity and consistency. Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS) Cloud Technology Utilization: Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval. Ability to guide and support cloud modernization of data processes, including advanced AI/ML, automation, and governance technologies. Optimize cloud workflows for data access and analysis efficiency. Collaboration and Communication: Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders. Clearly articulate analytical concepts and results to a wide range of audiences. Contribute to client-facing presentations and written reports. Required qualifications to be successful in this role: Bachelor's Degree in Technology, Business, Mathematics, Computer Science, Information Systems, or other related discipline from an accredited college, university, or academic institution in the United States. (Master's preferred) 6+ years of professional experience in AI/ML, data analysis, visualization, and reporting. Proficiency in Python for data manipulation and automation. Strong experience with SQL and relational databases (e.g., PostgreSQL, MySQL). Proficiency with Tableau for creating dashboards and visual reports. Experience creating automated data workflows, analytics processes, and processing pipelines. Advanced knowledge of data visualization and reporting using a variety of software and tools. Familiarity with AWS Cloud environments and services for data processing and storage. Familiarity with DevOps practices, Agile methodologies, and modern software development environments. Familiarity with the entire software development process from end-to-end. Excellent oral and written communication skills, with the ability to present complex information clearly. Strong problem-solving and analytical thinking skills. Existing and active DHS EOD/clearance (ICE preferred). Additional preferred qualification: Strong knowledge of change management processes and technologies (e.g., GitHub) Experience modeling and analyzing large financial and operational data in cloud environments. Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end. Knowledge of federal data governance standards and compliance frameworks. Prior experience supporting federal government clients, especially DHS. Existing and active DHS EOD/clearance (ICE or TSA preferred). Clearance: Existing and active DHS EOD/clearance (ICE preferred). About Us: At Indev, we're not just a company; we're a trailblazing force transforming the way technology solutions shape the future. As a dynamic player in the federal government sector, we're on a mission to empower agencies with cutting-edge, innovative technology solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. Let's innovate. *************

An established industry player is seeking a seasoned Machine Learning Engineer to join a dynamic team focused on leveraging AI/ML technology for Federal use cases. In this role, you will collaborate with data scientists and engineers to design and develop innovative machine learning models, analyze large datasets, and optimize solutions for performance and scalability. This position offers a unique opportunity to contribute to impactful projects while working with cutting-edge technologies in a supportive environment that values your growth and contributions. If you are passionate about data and problem-solving, this role is perfect for you! #J-18808-Ljbffr

The primary role of the Data Scientist is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. Position Responsibilities Build and assess analytic models tailored to mission-specific needs Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods Develop reproducible workflows and ensure data integrity Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. Organize, clean, and curate large datasets for analysis Present complex technical findings in a way that is accessible to technical and non-technical stakeholders Experience Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. Minimum 3+ years' relevant work experience. Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. An active TS/SCI with polygraph Additional Requirements Experience using the Atlassian Tool Suite. Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Physical Demands Ability to work in an office environment (Constant) Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) Salary Range: $107,000 to $212,000 The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Clearance Level Top Secret with Poly ITAR Requirement: T his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research * Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. * Career Stability: We hire for careers, not contractsour work is growing * People-Focused Culture: We value work-life balance, collaboration, and professional growth. * Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). * Competitive Pay & Benefits: * Typical salary range: $117k-$196K, depending on experience and contract labor category * 401(k) with employer contribution * Health, dental, and vision coverage * Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at:

Note: Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus or commissions. CPower is a leading Virtual Power Plant platform, monetizing the value of customer-sited energy to intelligently strengthen the grid. For over a decade, we've made turning flexible energy into revenue simple for partners and large energy users such as businesses, manufacturers, public institutions and healthcare organizations, delivering over $1.2 billion from demand response and energy flexibility programs to customers since 2015. With 6.7 GW of customer capacity nearly 23,000 sites, we're empowering energy users across North America, enabling them to benefit from an innovative energy economy. We are looking for an experienced Senior Data Scientist to join our growing Product team. Your primary, initial responsibility will be to enable new use cases, programs and constraints to be applied to a MILP-based optimization engine, and to monitor and improve optimization accuracy for existing use cases. This will require administering optimization accuracy reports for each customer site (i.e., KPI reporting) to identify and articulate the causes of any accuracy issues; and identifying, testing, and proposing potential changes to the product that address the causes of any accuracy issues. The role may require adding alternative optimization approaches that achieve desired business goals, as well as standing up new optimization services or forecasting functions as required. Based on candidate location, our primary preference is a hybrid role requiring in-office presence at our Baltimore, MD or New York City location three days per week (Tues/Wed/Thurs). Our secondary preference is remote. Essential Duties and Responsibilities You will work closely with product business owner, technical product management, and software engineers, and will focus on these topics: Identify, prototype, and implement enhancements on the core optimization approach, which includes: Implementing changes or enhancements to the core data model and problem modelling as requested by the business owner and product manager. Supporting integration efforts between the optimization platform and the solver to scale new features. Benchmarking performance across various program stacks, load profiles, locations, and other key variables. Integrating robust test coverage covering new and existing optimization logic. Identifying methods to proactively flag anomalies before they impact end customers. Collaborate with the team to assess how optimization and forecasting can be adjusted for various economic objectives. Administer and review optimization accuracy reports for each site and identify and articulate the causes of any accuracy issues, including: Identify, test, and propose potential changes to the product that address the causes of any identified accuracy issues. Identify drivers and trends in market price spikes and propose bidding strategies that can better optimize asset utilization. Support the business case for prioritizing scope items by quantifying the incremental benefit of code changes. Work with the Product team to identify new and value-add data science-led or -supported opportunities. Leverage existing CPower data sources and identify new sources for external data to drive higher accuracy outcomes. Work collaboratively in a diverse environment. We commit to reaching better decisions by respecting opinions and working through disagreements. Gain in-depth experience in an exciting industry as you work with energy financial models, energy tariffs, Distributed Energy Resource (DER) controls & monitoring, and other topics in the energy sector. Opportunity to build and lead a data science practice at CPower over time. We are looking for a motivated self-starter that thrives in a dynamic environment. A strong work ethic and excellent problem-solving skills are equally important as being a team player who enjoys learning and teaching. Requirements Degree (Bachelors or Masters) in Computer Science, Operation Research, Physics, Electrical or Mechanical Engineering, Mathematics, Statistics, or related field. 7+ years of experience in data science or related field. 2-5 years of specific experience working on MILP-based optimization problems [professional preferred, academic acceptable]. Experience building or leading a data science practice within an organization with evidence of successful technical and human resource development in the practice. Fluency and demonstrated success in Python and Pyomo. Demonstrated success leveraging multiple mixed-integer nonlinear optimization techniques. Understanding of machine learning algorithms (time series forecasting, clustering algorithms, probabilistic models, supervised and unsupervised learning). Experience developing solutions using model predictive controls. Experience with time series analysis and forecasting (LSTM, ARIMA, GARCH). Advanced skills with one or more data analysis tools, to be specified in applicant's response. Experience working with Agile development teams. Familiarity with electricity markets, utility tariffs, and interval data. Understanding of the operational attributes and constraints of DER assets like batteries, solar, and back-up generation. Skill in working collaboratively with cross-functional teams, communicating with and managing expectations with stakeholders and product resources. All applicants must be able to provide documentation that they are legally eligible to work in the United States for an extended period, and will not now, or in the future, require sponsorship for employment visa status to work legally for our Company in the United States. Preferred Qualifications Advanced experience with Azure and Postgres. Experience with additional tools, libraries, and platforms, to be specified in applicant's response. Software development experience in .Net and Python. Probabilistic models for electricity consumption or generation (e.g., wind or solar). Forecasting wholesale energy market prices. Forecasting system peaks or demand response events. Benefits Unique opportunity to work at a successful, growing company with a strong entrepreneurial spirit. We focus heavily on developing our employees and linking successes to our core values. CPower offers a great benefits package that includes medical, dental, vision, 401K, vacation, up to $10,000 per calendar year in tuition reimbursement, etc. CPower's leadership prides itself on maintaining a rewarding culture, and always striving to offer a great team-member experience. CPower is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. We believe that diversity and inclusion among our team members is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.

Job Description Note: Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus or commissions. CPower is a leading Virtual Power Plant platform, monetizing the value of customer-sited energy to intelligently strengthen the grid. For over a decade, we've made turning flexible energy into revenue simple for partners and large energy users such as businesses, manufacturers, public institutions and healthcare organizations, delivering over $1.2 billion from demand response and energy flexibility programs to customers since 2015. With 6.7 GW of customer capacity nearly 23,000 sites, we're empowering energy users across North America, enabling them to benefit from an innovative energy economy. We are looking for an experienced Senior Data Scientist to join our growing Product team. Your primary, initial responsibility will be to enable new use cases, programs and constraints to be applied to a MILP-based optimization engine, and to monitor and improve optimization accuracy for existing use cases. This will require administering optimization accuracy reports for each customer site (i.e., KPI reporting) to identify and articulate the causes of any accuracy issues; and identifying, testing, and proposing potential changes to the product that address the causes of any accuracy issues. The role may require adding alternative optimization approaches that achieve desired business goals, as well as standing up new optimization services or forecasting functions as required. Based on candidate location, our primary preference is a hybrid role requiring in-office presence at our Baltimore, MD or New York City location three days per week (Tues/Wed/Thurs). Our secondary preference is remote. Essential Duties and Responsibilities You will work closely with product business owner, technical product management, and software engineers, and will focus on these topics: Identify, prototype, and implement enhancements on the core optimization approach, which includes: Implementing changes or enhancements to the core data model and problem modelling as requested by the business owner and product manager. Supporting integration efforts between the optimization platform and the solver to scale new features. Benchmarking performance across various program stacks, load profiles, locations, and other key variables. Integrating robust test coverage covering new and existing optimization logic. Identifying methods to proactively flag anomalies before they impact end customers. Collaborate with the team to assess how optimization and forecasting can be adjusted for various economic objectives. Administer and review optimization accuracy reports for each site and identify and articulate the causes of any accuracy issues, including: Identify, test, and propose potential changes to the product that address the causes of any identified accuracy issues. Identify drivers and trends in market price spikes and propose bidding strategies that can better optimize asset utilization. Support the business case for prioritizing scope items by quantifying the incremental benefit of code changes. Work with the Product team to identify new and value-add data science-led or -supported opportunities. Leverage existing CPower data sources and identify new sources for external data to drive higher accuracy outcomes. Work collaboratively in a diverse environment. We commit to reaching better decisions by respecting opinions and working through disagreements. Gain in-depth experience in an exciting industry as you work with energy financial models, energy tariffs, Distributed Energy Resource (DER) controls & monitoring, and other topics in the energy sector. Opportunity to build and lead a data science practice at CPower over time. We are looking for a motivated self-starter that thrives in a dynamic environment. A strong work ethic and excellent problem-solving skills are equally important as being a team player who enjoys learning and teaching. Requirements Degree (Bachelors or Masters) in Computer Science, Operation Research, Physics, Electrical or Mechanical Engineering, Mathematics, Statistics, or related field. 7+ years of experience in data science or related field. 2-5 years of specific experience working on MILP-based optimization problems [professional preferred, academic acceptable]. Experience building or leading a data science practice within an organization with evidence of successful technical and human resource development in the practice. Fluency and demonstrated success in Python and Pyomo. Demonstrated success leveraging multiple mixed-integer nonlinear optimization techniques. Understanding of machine learning algorithms (time series forecasting, clustering algorithms, probabilistic models, supervised and unsupervised learning). Experience developing solutions using model predictive controls. Experience with time series analysis and forecasting (LSTM, ARIMA, GARCH). Advanced skills with one or more data analysis tools, to be specified in applicant's response. Experience working with Agile development teams. Familiarity with electricity markets, utility tariffs, and interval data. Understanding of the operational attributes and constraints of DER assets like batteries, solar, and back-up generation. Skill in working collaboratively with cross-functional teams, communicating with and managing expectations with stakeholders and product resources. All applicants must be able to provide documentation that they are legally eligible to work in the United States for an extended period, and will not now, or in the future, require sponsorship for employment visa status to work legally for our Company in the United States. Preferred Qualifications Advanced experience with Azure and Postgres. Experience with additional tools, libraries, and platforms, to be specified in applicant's response. Software development experience in .Net and Python. Probabilistic models for electricity consumption or generation (e.g., wind or solar). Forecasting wholesale energy market prices. Forecasting system peaks or demand response events. Benefits Unique opportunity to work at a successful, growing company with a strong entrepreneurial spirit. We focus heavily on developing our employees and linking successes to our core values. CPower offers a great benefits package that includes medical, dental, vision, 401K, vacation, up to $10,000 per calendar year in tuition reimbursement, etc. CPower's leadership prides itself on maintaining a rewarding culture, and always striving to offer a great team-member experience. CPower is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. We believe that diversity and inclusion among our team members is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.

Clearance Required: Active Secret Position Type: Full-Time Salary: $140,000-$160000 We are seeking a highly skilled Senior Data Scientist to support enterprise data and analytics initiatives for our federal client. The ideal candidate will bring expertise in AI/ML development, advanced analytics, and automation to deliver mission-focused solutions. This role will involve providing technical leadership, developing predictive models, and collaborating with cross-functional teams to ensure analytics capabilities are scalable, secure, and aligned with enterprise objectives. Strong proficiency with Python, SQL, AI/ML frameworks, and RPA tools is required. Primary Responsibilities: Provide technical leadership on enterprise analytics and AI/ML solutions. Design, develop, and deploy machine learning models and predictive analytics. Utilize Python, Anaconda, and Jupyter notebooks for modeling and prototyping. Collaborate with Data Engineers to integrate models into scalable data pipelines. Support data governance activities including tagging, metadata management, and secure sharing. Develop RPA solutions to automate business processes. Evaluate and recommend analytics products to ensure mission alignment. Communicate findings through dashboards, data visualizations, and technical reports. Requirements Minimum Qualifications: Active Secret clearance (required at time of application). Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field. 7+ years of professional experience in data science, AI/ML, and advanced analytics. Strong proficiency with Python (at least 2-3 years) Strong proficiency with SQL (at least 2-3 years) Expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with RPA tools (UiPath, Automation Anywhere, or Python-based automation). Excellent communication, documentation, and stakeholder engagement skills. Preferred Qualifications: Experience supporting federal or regulated environments. Knowledge of MLOps practices for deploying and managing ML models at scale. Knowledge of Anaconda and Jupyter notebooks. Familiarity with Databricks and Apache Spark. Background in data governance and enterprise metadata management. Eligibility: Must be legally authorized to work in the United States without employer sponsorship, now or in the future. Active Secret clearance required for this role. Benefits Salary: $140,000-$160,000 Washington, DC (Hybrid, Once a week) Benefits include Health, Vision, and Dental Insurance, and PTO.

Job DescriptionDescription: About Us ADVI Health: Expert Advice. Clear Vision. Since 2013, clients have sought ADVI Health's expert advice, informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation, economics, policy, and patient impact. Our aim is to be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators, worldwide. We are a collaborative team of consultants and advisors, all of whom are veterans of top healthcare and life sciences organizations, the federal government, state government, top consultants, nonprofits, commercial payers, or data and analytics companies. Our work cuts through complexity across asset, franchise, corporate, and executive level strategy, shapes markets, and enables therapies to launch faster, smarter, and at scale in multiple therapeutic areas, lifecycle stages, and areas of the world. Our global client roster includes biopharma manufacturers, MedTech, precision medicine diagnostics and tools companies, and cancer provider and patient organizations, from the C-suite down and across the product lifecycle. We solve complicated problems with data-informed commercialization, market access, and policy expertise. Based in Washington, DC and Austin, TX, the company delivers insight- and data-informed advice and vision for leaders in healthcare business and policy. ADVI offers a comprehensive perspective by integrating business, policy, and science to find creative solutions through data, learned insight, and compelling strategy to help clients make decisions across all healthcare segments. ADVI is at the forefront of healthcare delivery transformation, payment reform, public and private payer coverage, and healthcare merger and acquisition deal flow within the US and abroad. To learn more... visit us at ************ Overview We are seeking a passionate HEOR/RWE Senior Data Scientist to join our growing Strategic Analytics, Value, and Economics team. In this role, you'll leverage advanced data science and health economics methods to help shape access to life-saving therapies and innovations. You'll work with rich, real-world healthcare data including Medicare and Medicaid claims to uncover insights that directly inform policy, pricing, and patient access decisions across the life sciences sector. This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments reach the patients who need them most. Analytics and coding work will include health economics and outcomes research (HEOR), market basket assessment of diseases or treatment usage, and related evidence-generation studies for pharma clients. Job Duties • Design and execute rigorous analyses of Medicare, Medicaid, and commercial healthcare claims data to generate real-world evidence supporting HEOR, value, and market access initiatives. • Design and lead claims-based RWE analyses evaluating utilization, cost, and quality impacts using CCW data in VRDC and other secure environments. • Develop and validate SAS programs to support observational studies, comparative effectiveness research, and health economic analyses. • Build and maintain analytical models and data pipelines using SAS to ensure accuracy, reproducibility, and scalability of HEOR analyses. • Synthesize findings into clear, compelling insights that inform payer strategy, pricing, reimbursement, and policy decisions for life sciences clients. • Collaborate cross-functionally with internal teams and client stakeholders to align evidence generation strategies with business and scientific goals. • Developing RWE reporting systems, continuous data quality optimization, and analytics for health economics and outcomes research (HEOR) evaluation and stakeholder decision-making. Key Responsibilities • Lead components of analyses or deliverables under general guidance. • Conduct independent research and interpret data. • Support proposal inputs and client-ready materials. • Mentor Associates on basic methods and quality standards. Core Competencies Technical Proficiency Problem Solving Accountability Mentorship Client Awareness Requirements: • Master's or PhD in Data Science, Biostatistics, Health Economics, Epidemiology, Public Health, Computer Science, or a related quantitative field • Experienced in both qualitative & quantitative research, survey design, and analyses. • At least 7 years of related experience, with SAS programming experience. • 7+ years of experience (or equivalent graduate-level research experience) applying data science in healthcare, HEOR, or life sciences. • Proven ability to translate complex findings into clear, decision-ready insights to support payer strategy, value assessment, and policy making. • Demonstrated experience with large-scale health data analysis (claims, EHR, registry, or clinical trial data). • Solid understanding of health outcomes, cost analyses, and study designs used in HEOR and RWE research. • Experience working in HEOR, value and economics outcomes research (VEOR), or real world evidence (RWE) claims experience • Extensive experience working with health care datasets and performing quantitative research An ideal candidate may also have: • Understanding of health care policy issues in Medicare and/or Medicaid • Experience working with data offered in the CMS' Chronic Condition Warehouse • Experience working in the Virtual Research Data Center (VRDC) offered by CCW • Experience working with data in Medicare Standard Analytic Files (SAF), Research Identifiable Files (RIF), or Medicaid T-MSIS data Location Candidates can be based anywhere in the U.S., with a preference for those operating in the Eastern or Central Standard Time Zone. Candidates based in Washington, DC or Austin, TX, will have the option of hybrid work arrangements. Compensation and Benefits The annual base salary range is $126,000-$158,000 plus a bonus plan. This range reflects ADVI's current expectations for the role. Actual compensation may vary and will be determined based on a number of factors including, but not limited to, job related skills, experience, education, internal equity, and market considerations. The base salary range does not include bonuses, potential commission or other incentive compensation, which may be available as part of the total rewards package. Additional details regarding compensation philosophy and benefits will be shared by the recruiter during the interview process. ADVI offers an outstanding benefits package, including the following: • Medical, dental, and vision • 8 paid holidays, including one ADVI Anniversary Day per calendar year • 401(k) retirement contribution match, up to 3 percent of salary, with immediate vesting • Health Reimbursement Account • Life and short-term and long-term disability insurance • Paid vacation and sick leave Diversity Statement ADVI's commitment to diversity, equity, inclusion, and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then build an environment where you can become the best version of yourself. Our Vision To be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators worldwide. Our Mission To provide life science and healthcare innovators the benefit of our team's wisdom, empathy, and creativity that, through data-informed strategy, generates evidence to optimize outcomes and, through tech-enabled access solutions, creates opportunities and expands care. Our Values Act with Integrity Strive for Excellence Make an Impact Think smart, Stay curious Celebrate the Journey, not just the results We look forward to hearing from you! #LI-Remote

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Location: This position is a hybrid role based out of our HQ Bowie, MD office. The current expectation is that we are in office two days each week (Tuesday-Wed), with extra additional days as required during the month. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as research scientists, health service researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other practices, applying the full scope of the firm's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Duties and Responsibilities: * Serve as lead when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records and various healthcare registry datasets; * Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; * Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; * Identify, develop and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; * Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; * Serve as lead when working closely with Inovalon's Enterprise Data Management, Data Integration, MORE2 Registry, and iPORT+ teams to identify, understand, and resolve data issues and improve the efficiency, productivity and scalability of Avalere and Inovalon Product and production data processes; * Troubleshoot complex production-related issues and coordinate successful resolution; * Assist with the evaluation of data analytic vendors and tools; * Maintain compliance with Inovalon's policies, procedures and mission statement; * Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; * Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; * Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and * We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: * 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and big data; * Health Economics Outcomes Research experience; * Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, SPSS, Stata, and/or MatLab; * Demonstrated problem solving, analytical reasoning and decision-making skills; * Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources; * Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; * Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; * Understanding of database management tools (e.g., Hadoop, Hive or MapReduce); * Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; * Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; * Ability to work under minimal supervision in a fast-paced multidisciplinary environment; * Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; * Superior customer service in the form of first-rate work product and project management; * Strong ability to manage challenging client situations; * Strong ability to troubleshoot and recommend solutions; and * Strong ability to translate complex information for a wide range of clients. Education: * Master's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience. Physical Demands and Work Environment: * Sedentary work (i.e. sitting for long periods of time); * Exerting up to 10 pounds of force occasionally and/or negligible amount of force; * Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; * Subject to inside environmental conditions; and * Travel for this position will include less than 5% locally usually for training purposes. Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That's why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more. Base Compensation Range $113,000-$140,000 USD This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

Job Description Amida Technology Solutions is a DC-based technology company focused on data interoperability, integrity, governance, and security. We create solutions that collect, reconcile, transform, and standardize data for business intelligence, advanced analytics, decision support, and user transactions. We specialize in taking data from inception to impact. Our team is composed of creative, forward-looking thinkers who are passionate about using cutting-edge technology to improve lives and generate a positive impact on our country. We offer an entrepreneurial, high-growth environment that values fresh ideas, candid conversations, and authentic teamwork. Amida is seeking a Senior Graph Data Scientist. The successful candidate will work across our client engagements and internal research projects, helping the company develop graph algorithms and techniques to support advanced data management designs, including dimension-rich and time-series-based decision systems. This role will report to the Director of Solutions The ideal candidate will be motivated by the opportunity to support public agencies, nonprofit organizations, and private companies in transforming their data into actionable insights. Preference will be given to candidates able to work a hybrid schedule in our offices in DC or Richmond, VA. What you will do: Serve as the company's expert in all aspects of graph data modeling, including schema development, tradeoff data connectivity with retrieval/query performance Design, implement, and optimize graph algorithms and data structures for applications in decision support, classification Supervise, help create, and implement algorithms for encoding and embedding, clustering, outlier detection, community detection, and dimensionality reduction Build distributed training pipelines that can handle large graphs (100 M+ graph element) Design and write queries, stored procedures for data loading, migration from existing databases, and retrieval Interface with customers and internal resources to ensure alignment of expectations and objective progress towards the application of graph in advanced analytical systems Author white papers, technical documentation, patents, and present at conferences Mentor and train data scientists on graph theory, graph analytics and graph-based solution architectures Other duties as assigned Required Education: Master's degree in Computer Science, Mathematics, or Engineering with a strong focus on graph theory, algorithms, and data structures Required Experience: 5+ years of recent professional experience in Graph Machine Learning 3+ years of recent professional experience in the development and implementation of graph algorithms and data structures, including heterogeneous graphs for new applications 3+ years leading research initiatives Required Skills: Proficient with data modeling, schema design, database optimization, performance monitoring Proficient in software development using 4GLs Familiarity with graph libraries and frameworks, and machine learning libraries (e.g., PyTorch Geometric, DGL, GDS) Proficient in at least one Apache Spark based cloud service (e.g., Azure Databricks) Commitment to and engagement in building strong and trustful relationships with teammates, business partners, and customers Intellectually curious and passionate about exploring new frontiers in graph theory with an emphasis on real-world applications Desire and ability to stay current with both academic and industry literature Ability to obtain Public Trust Preferred: Experience with Neo4j, Cosmos DB, Arango DB Experience with cloud services and their database management system Ph.D. in Computer Science, Mathematics, or Engineering with a strong focus on graph theory, algorithms, and data structures Success at Amida Communication is the key to success at Amida. Our people are known for their can-do attitude and their ability to work effectively with both internal and client teams. We pride ourselves on having a collegial, multidisciplinary team with diverse backgrounds and experience. Our best team members pay intense attention to detail in all aspects of their work, have great initiative, are opinionated about the best ways of doing things, and align quickly to decisions. A sense of humor is an asset at Amida. Full-time, regular employees at Amida enjoy a robust benefits package that includes a generous 401(k) match with immediate vesting, 4 weeks of PTO, paid parental leave, medical insurance, dental insurance, vision insurance, life/AD&D insurance, and short-term disability. We also offer tuition/training assistance and team building opportunities to encourage professional growth and collaboration. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Job DescriptionDescription: Do you want to be at the forefront of AI drug discovery and advance the next generation of lifesaving medicine? Now's your opportunity! BullFrog AI, a technology-enabled drug discovery company, uses AI to aid in advancing the next generation of lifesaving medicine. We are at the intersection of computational biology and Artificial Intelligence, and we're seeking an exceptional Senior Data Scientist with a strong background in biomedical analytics to join our growing team. The selected candidate will have the opportunity to work on cutting-edge projects that integrate AI-driven analytics with groundbreaking biomedical research. Position Overview: We are looking for an exceptional Senior Data Scientist with a strong background in biomedical analytics to join our growing team. The selected candidate will have the opportunity to work on cutting-edge projects that integrate AI-driven analytics with groundbreaking biomedical research. In this role, the senior data scientist will support individual projects from an execution and leadership perspective. The day-to-day work will be client-dependent with flavors of target discovery, patient subtyping, and exploring multimodal and/or mixed data to gain insights. Additionally, they will build and provide technical contributions to the company's in-house platform. Location: Remote within the United States. The senior data scientist will also: Design, implement, and optimize AI models using diverse healthcare data. Engage in multi-modal genomic analyses such as RNA-Seq differential expression, clustering, and GWAS. Implement NLP solutions tailored to life sciences datasets. Collaborate effectively with remote teams to ensure seamless communication and delivery. Educate and present complex data science findings to non-technical stakeholders, ensuring clarity and actionable insights. Requirements: Education: Bachelor's degree from a top-ranking university in the United States or the United Kingdom. An advanced degree (MS or PhD) in a quantitative field such as biology, computer science, or engineering, from a top-ranking university in the United States or the United Kingdom. Professional Experience: A minimum of 3-5 years of post-graduate experience in life sciences analytics, e.g., in Pharma, Biotech, or Consulting. Experience with major healthcare data types, including -omics (required), claims data, and clinical data (e.g., EHR). At least 1 year of experience working with large language models. A maximum of 8-10 years of post-PhD experience. Demonstrated coding proficiency in Python. Proven track record of collaborating with remote teams. Proficient and fluent in the English language. Other: Must be legally authorized to work in the United States and be a United States citizen. Desired Skills: Prior experience in multi-modal analysis with deep learning. Causal inference experience is a significant plus. NLP/LLM expertise applied to life sciences and healthcare text. Strong foundation in data engineering and databases. Experience with graphs, including feature engineering, machine learning, and visualizations. Cloud platform experience, particularly AWS or Google Cloud. Demonstrated ability to deliver complex data science outputs to senior leadership. Benefits: 15 days of paid time off annually 11 paid holidays annually Medical, Dental, and vision coverage with eligibility on the first day of employment Short-Term Disability 401 (k) with enrollment upon day one Eligibility for bonus and stock options based on a combination of individual and company performance.

Job Description Vivo HealthStaff is recruiting for a Data Scientist with TS/SCI Clearance in the Washington, DC/Northern Virginia area. This is a full-time position supporting a federal government-focused technology company. Regular travel to client sites and secure facilities is expected. About the Role: Our client is an advanced analytics company supporting both government and commercial sectors. Their AI platform enables users to transform complex data into powerful visualizations and predictive models using no-code tools. The platform is currently deployed across federal agencies and major enterprise organizations. We are seeking a skilled and motivated Data Scientist to support mission-critical analytics and AI/ML deployments. Responsibilities: Utilize the company's AI platform to develop and deploy production-ready solutions. Own the full lifecycle of AI solution development from ideation to implementation. Work with customer data and big data frameworks (e.g., Databricks) to design effective workflows. Collaborate with cross-functional teams to deliver impactful, explainable AI models. Qualifications: Active TS/SCI security clearance required. Must be based in or near Washington, DC/Northern Virginia with access to SCIFs. Bachelor's degree in Computer Science or a related field. 3+ years of experience with Python and Python data stack (pandas, numpy, sklearn, TensorFlow, PyTorch, etc.). 1+ year of experience deploying machine learning models in production environments. 1-2 years of experience with SQL/NoSQL databases (e.g., Elasticsearch, graph databases). Experience with Git, Docker, and/or Kubernetes. Strong sense of ownership, accountability, and communication skills. Preferred Skills: Experience leading projects from within a SCIF environment. Background in cyber analytics, PCAP/network monitoring, or vulnerability analysis. Familiarity with distributed systems such as Spark, Dask, Snowpark, or Kafka. Experience with workflow/task orchestration tools (e.g., Celery, Airflow, Prefect) and web frameworks (e.g., Flask, Django). To Apply: Please submit your CV for immediate consideration. Only candidates with an active TS/SCI clearance and U.S. work authorization will be considered.

Job Description Senior Data Scientist (TS/SCI) Ninja Analytics is looking for a Senior Data Scientist to help lead the development and delivery of high-quality predictive modelling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. They will help our team to leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications that drive optimized decision making. Project tasks include data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment. The products we develop provide actionable insight with real and immediate impact on the safety and security of the United States, its citizens, visitors, and economy. The strongest applicants will offer multiple years of experience in highly dynamic, threat/risk driven operating environments. They will also have a proven track record of delivering production ready decision support tools and applications employed in the field and by mission-support entities. Applicants will have a demonstrated capacity to work closely and collaboratively with mission stakeholders; respond to emergent, mission-driven changes in priorities and expected outcomes; and apply new and emerging tools and techniques. Within three - six months of joining the project, data scientists will be expected to: Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation). Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies. Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions. Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting. Qualifications Education: Bachelor's Degree (required), Master's or Ph.D. degree (preferred) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience. Required Qualifications 12+ years of related experience Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems Experience with programming languages including: R, Python, Scala, Java. Proficiency with SQL programming Experience constructing and executing queries to extract data in support of EDA and model development Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) Experience with unsupervised and supervised machine learning techniques and methods Experience performing data mining, analysis, and training set construction Desired Qualifications Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI) Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Security Clearance: Selected applicants must be a US Citizen and able to obtain and maintain a Top Secret Security Clearance

Job Description Data Scientist - MID TS/SCI REQUIRED Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.

Job Description This dynamic project supports the FBI in strengthening its mission-critical operations through the delivery of integrated technical, operational, and analytical services. The focus is on enhancing the FBI's enterprise systems by maintaining secure cloud environments such as AWS and Azure, while enabling advanced data capabilities through scalable ETL pipelines and the migration of custom-developed tools into enterprise platforms. In parallel, the team engages in forward-leaning research on emerging technologies including artificial intelligence, machine learning, IoT, and mobile messaging applications to inform next-generation solutions. As part of its operational mission, the project provides direct case support and real-time data analysis for high-profile events managed by the 24/7 operations center. Responsibilities: Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. Collaborates with nontechnical, national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner. Leads and/or design machine learning (ML), statistical analysis, and data analysis tasks. Leverages existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data to provide novel insights. Interprets data, identify features and model variables, assess the quality of model outputs, generate alternatives, and conduct remediation. Finds and designs new approaches to handling, analyzing, and using large volumes of data and/or data sets, and explore fundamental issues with data handling, search, and retention. Designs new software code to improve data search processes, and design, test, and validate the quality of data and data processes. Automates routine workflows and data analysis steps to assist with workflow automation. Reports results of analyses and provide actionable recommendations. Required Qualifications: Minimum Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree; OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree. Required Experience: Demonstrate high level of proficiency in all functional responsibilities and expert knowledge of data science and/or data analytics with: High proficiency in Python

Why Join CINQCARE? CINQCARE is a provider-led, community-based health and care partner dedicated to improving the health and well-being of those who need care the most, with a deep commitment to high-needs, urban and rural communities. Our local physicians, nurses, and caregivers work together to serve people and the communities they live in, beyond just treating symptoms. We remove barriers by delivering personalized care as close to home as possible, often in-home, because we know a deep understanding of our patient's race, culture, and environment is critical to delivering improved health outcomes. By empowering patients, providers, and caregivers with the support they need, we strive to make health and care a reality-not a burden-every single day. Join us in creating a better way to care. Position Overview CINQCARE is redefining how health and care are delivered, starting where trust begins: the community. The Senior Healthcare Data Scientist will be a key member of the Analytics & AI team, responsible for designing and delivering advanced machine learning and analytics solutions that directly inform CINQCARE's personalized care programs and outreach. This role blends technical expertise with strategic impact - developing predictive models, managing full model lifecycles, and translating data into actionable insights that guide engagement, care delivery, and organizational decision-making. The Senior Healthcare Data Scientist will also drive innovation by testing emerging techniques and ensuring all solutions meet CINQCARE's standards for equity, fairness, and health impact. Key Responsibilities Design, curate, and maintain analytical datasets by integrating EHRs, claims, engagement data (e.g., Salesforce Health Cloud), third-party SDOH sources, and commercial data (e.g., Neustar, Acxiom). Build, evaluate, and manage predictive models (classification, regression, NLP, time series, survival analysis, agentic modeling) to stratify risk, improve targeting, and predict engagement. Manage the full model lifecycle - from development through deployment, monitoring, retraining, and drift detection - ensuring production reliability. Apply fairness, bias mitigation, and explainability frameworks to ensure models are equitable and trustworthy. Use What-If scenario modeling and simulations to support clinical and business decision-making. Integrate engagement data into continuous feedback loops that refine model performance and responsiveness. Translate complex analyses into clear, compelling stories and insights for clinicians, engagement teams, executives, and community leaders. Develop dashboards, reports, and self-service analytics tools for use across CINQCARE teams. Partner with engineering teams for scalable deployment using modern MLOps practices. Collaborate cross-functionally with clinicians, engagement specialists, and leadership to ensure data science aligns with CINQCARE's purpose and performance priorities. Research, test, and apply emerging methods (e.g., generative AI, causal inference, federated learning) relevant to community-based care and health equity. Required Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, or related quantitative field; Bachelor's with significant applied experience considered. Minimum 7 years of applied data science experience, ideally in healthcare, public health, insurance, or digital health. Demonstrated ability to design, deploy, and manage predictive models in production. Strong expertise in Python, SQL, and ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch). Experience with NLP, time series modeling, and advanced MLOps practices. Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable). Proficiency with visualization tools (Tableau, Power BI, Plotly, Dash). Exceptional communication and data storytelling skills for technical and non-technical stakeholders. Purpose-driven mindset with demonstrated ownership, accountability, and ability to thrive in collaborative, cross-functional teams. Our Benefits At CINQCARE, we care for our team like we care for our patients-holistically. We offer flexible, comprehensive benefits so you can thrive while delivering top-notch care. Medical Plans: Two comprehensive options offered to Team members. 401K: 4% employer match for your future. Dental & Vision: Flexible plans with in-network savings. Paid Time Off: Generous PTO, holidays, and wellness time. Extras: Pet insurance, commuter benefits, mileage reimbursement, CME for providers, and company-provided phones for field staff. The working environment and physical requirements of the job include: In-office work is performed indoors in a traditional office setting with conditioned air, artificial light, and an open workspace. In this position you will need an to communicate with customers, vendors, management, and other co-workers in person and over devices, sometimes with people who are agitated. Regular use of the telephone and e-mail for communication is essential. Sitting for extended periods is common. Must be able to receive ordinary information and to prepare or inspect documents. Lifting of up to 10 lbs. occasionally may be required. Good manual dexterity for the use of common office equipment such as computer terminals, calculator, copiers, and FAX machines. Good reasoning ability is important. Able to understand and utilize management reports, memos, and other documents to conduct business. Equal Opportunity & Reasonable Accommodation Statement CINQCARE is an Equal Opportunity Employer committed to creating an inclusive environment for all employees. We provide equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law. If you require a reasonable accommodation during the application or employment process, please indicate this in your application or speak with your recruiter during the hiring process. Disclaimer This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to modify, add, or remove duties as necessary.

Senior Data Analyst Req ID 002-25 v1.0 HazeGrayCyber, LLC is focused on delivering Cyber Security and Zero Trust Solutions to the US National Defense community and our allies and partners. This position will provide Information and Task Management Support to MCICOM, G-9, and the Marine Corps. Location: Performance will take place at both the Government's facility and the contractor's facility. Travel will be required to conduct on-site IA tasks at Marine Corps Regions/Installations Responsibilities: Uses analytical tools and techniques to extract meaningful insights from data. Identifies relevant data sources, performs data cleansing/analysis, develops data models, uses data visualization software to present findings. Specifically-working in partnership with a Senior Operations Research Analyst and Senior Data Analyst. Collect and normalize data, analyze, and present results of enterprise to individual real property assets or MCICOM Marine Corps programs within the installations portfolios and functions, and provide programmatic, cost, budget, schedule, and technical requirements utilizing descriptive methods, tools, and supporting visualizations. Use analytic tools to combine, analyze, and interpret very large and complex datasets to perform exploratory analyses and develop data-informed organizational solutions. Design, develop, enhance, and support new and existing dashboards and visualizations using the following tools, but not limited to PowerPoint, Tableau, Python, or R to support planning, programming, budget, and execution decisions. Conduct predictive analysis and refine/update models to forecast future infrastructure and installation services requirements and resources to support the Marine Corps Future Force, tenant requirements, and families. Use of operations research techniques and methods, machine learning models, and other predictive analytics tools to identify trends, patterns, and potential future outcomes. Refine the predictive infrastructure model that focuses on lifecycle management including incorporating known funding levels, known facility investment plans (supportive of military construction (both new mission/footprint and recapitalization), restoration and modernization, sustainment, and demolition requirements) and incorporating the Marine Corps' Facility Investment Strategy (FIS). Provide recommendations of optimal investment strategies to support the infrastructure and installation services portfolios. This analysis will include optimization models implementing known or projected investment goals, scenario planning, and the integration of various budgets, real property, and input data (to include but not limited to inflation, metrics, and factors) to support actionable investment recommendations over the Future Years Defense Program (FYDP). Deploy descriptive, predictive and prescriptive infrastructure model into government environment and develop training materials and train government personnel at the Regions/ Installations for use. The following steps outline a Full Enterprise, Readiness Model that meets Full Operational Capability (FOC) to include using advanced analytic software or leverage a Large Language Model (LLM). Build prescriptive infrastructure model in the Government (OSD Advana) Cloud Environment Required Education and Experience 10+ years of experience and BA/BS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study or 5+ years of experience and MA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study Desired Education and Experience 20+ years of specialized experience and a BA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study PhD Desired Desired Certifications Certified Analytics Professional SAS Certified Data Scientist/SAS Certified Professional: AI and Machine Learning/SAS Certified Analytics Professional IBM Data Science Professional Certificate Or other comparable certification programs through Universities or the commercial sector Security US Citizenship Required Ability to obtain and maintain a Government Secret Security Clearance Overseas Performance Requirements Overseas performance and/or travel may be required in Japan, Korea, and/or Guam. NOTE: SPOT requirements will require the use of SPOT for approving SOFA status. HazeGrayCyber, LLC is an Equal Opportunity Employer with a strong commitment to supporting and retaining a diverse and talented workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. HazeGrayCyber, LLC offers competitive compensation and benefits as well as great long-term career opportunities. For more information or to apply, visit our website at ****************************