Data Scientist

Senior AI/ML Data Scientist

Job#: 3015661

Location: San Antonio, TX OR Tysons, VA (3 days onsite)

Rate: Negotiable

Duration: 6‑Month Contract to Hire

This is a W2 role; we cannot offer visa sponsorship now or in the future.

Required skills: AI/ML Data Analytics, Python or R, AWS or Snowflake

The primary purpose of this role is to develop and implement advanced analytics solutions and processes that drive business value. As a lead‑level professional on the Enterprise Data Team, you will design, review, validate, and deploy advanced analytics, AI/ML, and analytical model solutions. You will independently lead key projects and serve as the subject‑matter expert, collaborating closely with cross‑functional teams to unlock new opportunities, reduce expenses, and enhance business performance.

• Provide expert guidance to the team on complex business problems, offering strategic insights and recommendations for advanced analytics and AI/ML solutions.
• Conduct end‑to‑end development of complex statistical models, including objective definition, data compilation, sampling/preparation, feature selection, model comparison/selection, deployment, and monitoring while ensuring robust internal controls throughout the model lifecycle.
• Partner with competency leads, developers, data scientists, analysts, and stewards to support project planning, technical design, development, and solution deployment.
• Mentor junior team members on major projects such as model development and validation.
• Establish consistent, robust model implementation processes with effective review and controls.
• Lead the development, monitoring, and maintenance of advanced risk models, proactively researching and recommending innovative approaches to improve performance and accuracy.
• Standardize documentation and implementation practices across the team, fostering collaboration with stakeholders and ensuring seamless integration into forecasting tools.
• Collaborate with IT and data engineering teams to ensure efficient data management, quality, and integration for analytics projects.
• Promote a data‑driven decision‑making culture and advocate for advanced analytics across the organization.
• Communicate effectively with senior management, regulators, internal audit, and other stakeholders, translating complex concepts into clear, concise insights.
• Participate in regular stakeholder interactions to refine model implementation processes and integrate feedback into forecasting tools.
• Collaborate cross‑functionally to continually improve data governance, quality, and security in a multi‑tenant environment; standardize data practices.

• ML Ops / ML Production Deployment
• Containerization (Docker, Kubernetes)
• Version control (Git)
• API development and integration
• CI/CD pipeline development and management
• Monitoring and logging tools (Prometheus, Grafana, ELK stack)
• Orchestration tools (Apache Airflow, Kubeflow)
• Data pipeline development and management
• Data governance and security best practices

• Ph.D. or Master’s Degree.
• Experience with Gen AI and LLM.
• Minimum of 4 years of related experience in building statistical models and advanced data analysis.
• Proficiency in advanced statistical techniques (Logistic Regression, Linear Regression, Time Series Analysis, Decision Trees, Cluster Analysis, Gradient Boosting Machine, and other machine learning algorithms).
• Advanced programming skills in Python or R.
• 1+ year of experience using cloud‑native tools such as AWS S3 and Snowflake.

Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability insurance, an employee stock purchase program (ESPP), a 401(k) plan with company match after 12 months, a Health Savings Account (HSA), a Support Linc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount program, and extensive professional development opportunities.

Apex Systems is an equal‑opportunity employer and does not discriminate on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.

Apex will consider qualified applicants with criminal histories in a manner consistent with applicable law. If you need an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804‑523‑8228. (Do not submit resumes or solicit consultants to this email address). United Healthcare creates and publishes the Transparency in Coverage Machine‑Readable Files on behalf of Apex Systems.