Senior Data Scientist
About The Position
The Senior Data Scientist is a principal-level individual contributor who architects, delivers, and governs enterprise-grade advanced analytics and machine learning solutions. The role’s work informs strategic decisions, financial performance, operational efficiency, and regulatory posture, particularly in regulated healthcare environments. Operating across data science, data engineering, cloud analytics platforms, and business strategy, this role serves as a technical authority and thought leader on complex analytical initiatives. It is accountable for model development as well as explainability, stability, auditability, and the long-term operational viability of solutions deployed at scale within the Microsoft data ecosystem. Associates must comply with HIPAA and company privacy and security guidelines. The role may involve access to protected health information, cardholder data, or other confidential customer information, which must be protected at all times.
Requirements
- Master's degree in data science, statistics, mathematics, computer science, engineering, or a related field.
- 7–10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data-rich environments.
- Prior experience in healthcare analytics, including payer, provider, life sciences, or regulated healthcare data domains.
- Proven experience deploying production analytics or machine learning solutions that support mission-critical business processes.
- Proficiency with Python, including pandas, NumPy, scikit-learn, and PyTorch or TensorFlow where appropriate.
- Advanced SQL skills, including T-SQL optimization and analytical patterns.
- Experience with machine learning explainability and governance techniques, such as SHAP-style approaches and stability testing.
- Deep, hands-on production experience across a sizable portion of the Microsoft analytics ecosystem, including Microsoft Fabric (Lakehouse, Data Warehouse, Real-Time Analytics, and Notebooks); Azure Synapse Analytics (dedicated and serverless SQL pools); Azure Data Factory or Fabric Data Pipelines; Azure Data Lake Storage; Azure Machine Learning (training, deployment, and monitoring); Power BI (semantic models, DAX optimization, and executive dashboards); and Microsoft Purview (cataloging, lineage, and classification).
- Adhere to HIPAA requirements and company data security guidelines when handling protected health information or other confidential data.
Nice To Haves
- Prior actuarial experience.
Responsibilities
- Architect, design, and deploy advanced statistical, predictive, and machine learning solutions for enterprise decision-making across healthcare, operations, finance, and customer/member domains.
- Own the end-to-end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning.
- Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility, particularly when ground truth or forward-looking forecasts are limited.
- Design analytics solutions natively within the Microsoft cloud analytics stack and align them with enterprise data architecture and governance standards.
- Partner with executive stakeholders, data engineering leaders, and platform owners to translate business questions into high-impact, production-ready analytics.
- Lead and influence analytics standards without direct authority.
- Define best practices for model documentation, audit artifacts, model risk management, stability analysis, reproducibility, and controlled experimentation.
- Guide and review work from data scientists, analysts, and vendors to ensure technical rigor and business relevance.
- Present complex analytical findings to senior leadership using clear narratives, decision-oriented visuals, and quantified trade-offs.
- Identify analytical risks, data limitations, and downstream impacts of modeling decisions.
- Evaluate emerging tools, methodologies, and Microsoft platform capabilities to drive modernization and performance gains.
- Comply with HIPAA requirements and company privacy and security guidelines for protected health information and other confidential data.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Tuition reimbursement
- 401(k) with company match
- Pet insurance
- Paid time off
- Company holidays
- Retirement savings with employer contribution
- Employee wellness resources
- Professional development opportunities
- Flexible work arrangements may be available
- Employee assistance programs may be available
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What This Job Offers
Job Type
Full-time
Career Level
Senior
