Senior data scientist jobs in Leesburg, VA - 2,625 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. *************

**ONLY FROM DMV AREA** Data Science and AI experience is a must • Look for more Data Scientist/ AI/ML Engineering Backgrounds • A lead Data Scientist with understanding of Solution designing can fit for this role • A hands on solution architect with Data Science and AI experience can be a potential fit for this role • I believe being end of the year might be a reason we have not got great candidates thus I am hopeful in January we might see a different variety of people • Not suitable for this role: “Solution Architects” with no data science background” , “Data Architects”, “Cloud Architects”

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

Terms of Employment • W2 Contract-to-Hire, 12 months • This is a hybrid schedule at Reston, VA, Candidates must reside in Maryland, Washington, DC, or Virginia Role Purpose The Lead Data Engineer is responsible for designing, building, deploying, and scaling robust data solutions with a primary focus on the AWS Cloud platform. You will lead a team in transforming the company's data platforms to deliver meaningful, data-driven insights while ensuring high reliability, automation, and performance Core Responsibilities: • Data Integration & Pipeline Leadership (50%): Lead the team to design, implement, and monitor all aspects of Data Integration. Develop and enforce best practices for data management, ensuring optimal performance for complex data pipelines. • AWS Infrastructure & Architecture (10%): Develop and maintain cloud-based infrastructure, including data warehouses (Redshift) and data lakes (S3). Model Data Warehouse solutions specifically tailored for cloud environments. • Engineering Oversight (10%): Oversee the delivery of high-priority engineering initiatives, managing both long-term projects and ad-hoc ELT/ETL activities. • Data Extraction & Transformation (10%): Create sophisticated data collection frameworks for structured and unstructured data. Apply advanced ETL/ELT techniques to connect large, diverse datasets. • Analytics & Quality Control (5%): Execute quantitative analyses to translate data into actionable insights. Design and manage strict quality control procedures across multiple systems. • Professional Development (5%): Maintain state-of-the-art practices by participating in professional societies and benchmarking new technologies. Required Qualifications Education: Bachelor's degree in Computer Science or IT. In lieu of a degree, 4 additional years of relevant experience is required. Experience: At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling. Data Engineering on AWS platform preferably leveraging S3, Kafka, Redshift and other AWS services., at least 3 years ETL/Data Integration Design and Development experience using Java/Scala, Spark preferably on Cloudera Platform .,couple of projects Knowledge and understanding of SQL ., Expert Strong Java Programming with enterprise scale experience ( using Git,Artifactory and other DevOps tools) Knowledge and understanding of database design and implementation concepts. , Expert Knowledge and understanding of data exchange formats., Expert Knowledge and understanding of data movement concepts, Expert Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Expert Able to effectively provide direction to and lead technical teams., Expert nTech is an equal opportunity employer. All offers of employment are contingent upon pre-employment drug and background screenings. Only candidates who meet all of the above client requirements will be contacted by a recruiter.

Benefits: 401(k) matching Competitive salary Dental insurance Health insurance Paid time off Vision insurance WHO WE ARE US AI stands as a forward-thinking digital transformation enterprise, dedicated to enabling individuals to achieve remarkable feats through cutting-edge technology. As a leader in Artificial Intelligence, Cybersecurity and Self-Healing Infrastructure, we are actively seeking top-tier talent to spearhead the commercialization of groundbreaking products and propel our business to new heights. If youre passionate about pushing the boundaries of whats possible in the digital realm, then this is the place for you. Come work with us, and lets redefine the future together. About the job As a Sr. Data Scientist, you will play a pivotal role in analyzing large datasets, uncovering insights, and driving data-driven decision-making within our organization. This position offers an exciting opportunity to work on a wide range of projects. You will have the opportunity to unleash your data wizardry and embark on a thrilling data expedition with us. Were on the hunt for a passionate explorer of insights, an alchemist of algorithms, and a creator of predictive wonders. In this role, youll be at the forefront of innovation, transforming raw data into strategic gems that guide our companys success. What youll do Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements, manipulating data and drawing insights from large data sets Create and use advanced machine learning algorithms and statistics, such as regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Create data architectures Visualize and present data to stakeholders Education & Experience Bachelors degree or equivalent experience in a quantitative field, such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline. A minimum of one (1) year of hands-on experience in data analysis, machine learning, or statistical modeling. Demonstrated expertise gained through relevant internships, coursework, and personal projects that highlight your skills and a strong dedication to the field of data science. Fundamental knowledge of cloud platforms like AWS, Google Cloud, or Azure, with an emphasis on their use for scalable data analysis. Minimum 7 years of experience. Required Skills / Certifications Competency in SQL for data extraction and manipulation, along with experience working with databases to retrieve and store data. Strong data analysis skills, including data cleaning, exploration and visualization. A foundation in machine learning with experience in building and deploying machine learning models. The ability to approach complex data problems, devise solutions, and successfully implement them within project deadlines and objectives. A drive to learn and master new technologies and techniques Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in programming languages (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Excellent written and verbal communication skills for coordinating across teams Awareness of ethical considerations in data science, including privacy, bias, and fairness in algorithms. Preferred Skills / Certifications Masters degree in Data Science or closely related field Recognized certifications in the field of Data Science Security clearance You must be able to obtain a security clearance (Secret or higher) US Citizenship required COMPENSATION $150,000-$200,000 per year based on skills, experience Benefits We offer a comprehensive benefits package, paid time off, life insurance, 401(k) retirement savings plan with employer matching, and opportunities for professional growth and career development. You have the legal right to work in the United States without current or future employer sponsorship. Qualified candidates must live in the United States, with the ability to commute to the North Bethesda, MD office. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. USAI is committed to a policy of equal employment opportunity for all persons without regard to race, color, religion, sex, gender identification, age, marital status, disability, sexual orientation, national origin, disabled veteran or Vietnam-era veteran, or any other classification protected by applicable anti-discrimination laws. We prohibit and do not tolerate any form of discrimination or harassment.

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.

Location: Ideal candidates will be able to report to our Pulse Point location at 22001 Loudoun County Pkwy, Ashburn VA 20147. This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. Work Hours: Monday to Friday, 8:00 am to 5:00 pm The Data Scientist Senior designs machine learning projects to address specific business problems determined by consultation with business partners. How you will make an impact: * Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. * Pipe and process massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. * Implement batch and real-time model scoring to drive actions. * Develop proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. * Develop sophisticated visualization of analysis output for business users. * Publish results and address constraints/limitations with business partners. * Provide high-level controllership/evaluation of all output produced to ensure established targets are met. * Determine the continuous improvement opportunities of current predictive modeling algorithms. * Proactively collaborate with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Minimum Requirements: Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, Information Systems, or a related field. Additional Requirements: * Five (5) years of experience in related occupation(s) with Data science, analytics, and/or software development. * Five (5) years of experience in related occupation(s) with Data science, analytics, and/or software development must include: One (1) year of experience in the following: Python, R, SAS and programming; Working in a distributed computing environment; Hive, Impala or Apache Spark; Data extraction and manipulation using SQL; Connecting Tableau or Shiny reports to Hadoop back end; and JavaScript visualization libraries including D3.js. Alternate Education/Experience Requirements: Employer will accept a Master's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, Information Systems, or a related field, and three (3) years of experience. Must have skills listed above. APPLY: *********************************** Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact ******************************************** for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

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

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.

Description: We are seeking an experienced Data Scientist with a passion for RMF and applying ML / AI techniques to it. In this role, you'll develop and implement ML and AI techniques to improve the analysis and authorization process for systems. Salary range: $230,000 - $255,000 Disclaimer: Salary for this position, along with additional compensation options, will be determined on an individual basis following the interview process, considering various factors such as years of experience, skills, education/certifications, contract specifications, market conditions, etc. Skills Requirements: • Experience with AI/ML RMF SSP authorization • Experience with AI/ML services contract and configurations • Experience with AI/ML request security review Experience Requirement: 12 yrs. with a B.S. in Computer Science or a technical discipline Clearance Requirement: Active TS/SCI with a polygraph Referrals & Inquiries Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire. Not seeing the right position right now? Reach out to us, and we'll notify you as new contracts and opportunities become available! Please send referrals and inquiries to: *****************.

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.

Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations. We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren't predefined. Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago. We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball. Job Description Drive technical roadmap to extend risk monitoring across identified threat surfaces. Develop/experiment/ship state-of-the-art prediction models Use excellent data science practices to iteratively produce high performing models Create immediate impact through sound and practical deliveries of risk monitors Work with engineering colleagues to convey findings through data visualizations Measure, tune and refine existing algorithms to incrementally improve performance Analyze new and existing data after extracting. transforming and combining it in novel ways Convey needs to engineering and operations teams to ensure healthy feedback loops Attract and onboard new talent while preserving and enhancing existing culture Build strong partnerships and collaborate with other teams across the enterprise Demonstrate sense ownership and personal accountability for your team's work Qualifications Basic Qualifications: 5+ years applied data science experience, including 3 years of advanced analytics experience focused on enterprise-specific problem solving 2+ years management, mentoring, or other closely related team or people leadership experience Experience in machine learning (supervised, semi-supervised or unsupervised learning) Strong communication, delivery management, and leadership skills Preferred Qualifications A bachelor's degree, MSc or Ph.D. in Statistics, Data Science, Artificial Intelligence, or equivalent alternative education or experience Applied experience with SQL, also Python or R or Scala, and modern data science tools/packages e.g. PyTorch, Transformers, TensorFlow, scikit-learn Applied experience with Databricks and/or Azure ML Strong coding abilities in one or more scripting languages like Python or SQL Understanding of compliance, security, and risk domains along with associated patterns and data elements Understanding of product and services activation, use, and transaction models and data Understanding of statistical analysis and machine learning tools and practices Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc Familiarity with Agile software delivery including application lifecycle mgmt (SAFe, Azure DevOps/VSTS, Git) Additional Information All your information will be kept confidential according to EEO guidelines.

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.