Senior Data Scientist

Senior Data Scientist
Senior Data Scientist

Who are we? Versant Health is one of the nation’s leading administrators of managed vision care, serving millions of our clients’ members nationwide. We are driven by our mission to help members enjoy the wonders of sight through healthy eyes and vision.

As a Versant Health associate, you can enjoy a comprehensive Total Rewards package, which includes health and dental insurance, tuition reimbursement, 401(k) with company match, pet insurance, no-cost-to-you vision insurance for you and your qualified dependents. We are also invested in your success. There are many opportunities for advancement and development throughout all stages of your career with us.

See how you can make a difference with the support of strong leadership and a team environment.
See Everything, Be Anything™.
What are we looking for?

The Senior Data Scientist is a principal level individual contributor responsible for architecting, delivering, and governing enterprise grade advanced analytics and machine learning solutions that materially influence strategic decisions, financial performance, operational efficiency, and regulatory posture.

This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex, high risk analytical initiatives—particularly within regulated healthcare environments.

The Senior Data Scientist is accountable not only for model development, but for explainability, stability, auditability, and long term operational viability of analytical solutions deployed at scale within the Microsoft data ecosystem.
Where you will have an impact

- Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise level decision making across healthcare, operations, finance, and customer/member domains.

- Own 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 where ground truth or forward looking forecasts are limited.

- Design analytics solutions natively within the Microsoft cloud analytics stack, ensuring alignment to enterprise data architecture and governance standards.

- Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex 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 produced by other 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.

- Proactively identify analytical risks, data limitations, and downstream impacts of modeling decisions.

- Continuously evaluate emerging tools, methodologies, and Microsoft platform capabilities to drive modernization and performance gains.

What’s necessary to do the job?

- Master's degree in data science, statistics, mathematics, computer science, engineering, or related field required.

- 7–10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data rich environments.

- Required: Prior experience in healthcare analytics (payer, provider, life sciences, or regulated healthcare data domains).

- Prior acutrary experience a plus.

- Proven experience deploying production analytics or ML solutions supporting mission critical business processes.

- Python (pandas, NumPy, scikit lear