Data Scientist, Marketing & Commercial Analytics

At Zelis, we Get Stuff Done. So, let’s get to it! 

  

A Little About Us 

Zelis is modernizing the healthcare financial experience for all by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts—driving real, measurable results for clients. 

  

A Little About You 

You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are.

Position Overview

Zelis is seeking a Data Scientist to join our growing Analytics team supporting marketing and commercial strategy across all business units. This is a strategic, net-new role designed to expand our enterprise-wide use of data science to drive insights, accelerate growth, and optimize decision-making. You will work cross-functionally with marketing, sales, product, and client teams to unlock the value of data through advanced analytics, modeling, and impactful visual storytelling.


This role is ideal for someone who is hands-on, deeply analytical, and excited by the challenge of building scalable analytics solutions that inform go-to-market strategies and campaign performance.

Position Overview

What You’ll Do

Key Responsibilities:

• End-to-End Data Science Execution: Own the full analytics lifecycle—from ingesting and cleaning raw data to developing predictive models, running statistical analyses, and translating findings into actionable insights for business leaders.

• Cross-Functional Impact: Partner with stakeholders across marketing, sales, and product teams to uncover opportunities through segmentation, attribution, funnel optimization, and campaign performance analysis.

• Predictive Modeling & Segmentation: Develop customer and account-level models to predict behavior, inform targeting strategies, and personalize engagement across digital and direct channels.

• Advanced Visualization & Dashboarding: Build interactive dashboards (Power BI preferred) that surface insights clearly and intuitively to both technical and non-technical users. Integrate AI-based tools to accelerate insight delivery.

• Data Quality & Governance: Proactively identify data gaps and inconsistencies across systems (e.g., CRM, campaign tools, external sources). Work with internal partners to resolve data quality issues and improve governance standards.

• Innovation & Tooling: Continuously evaluate and recommend new data sources, technologies, and techniques—including generative AI applications—to improve analytical workflows and business outcomes.

What You’ll Bring to Zelis

Qualifications

• 3+ years of hands-on experience in a data science or advanced analytics role, ideally supporting marketing, sales, or commercial operations

• Proficiency in Python and SQL required; experience with R is a plus

• Strong experience using data visualization platforms such as Power BI or Tableau to develop executive-level dashboards

• Experience working with CRM and marketing systems such as Hubspot, Salesforce, LinkedIn Campaign Manager, or similar

• Demonstrated ability to drive projects independently and explain complex concepts to business stakeholders

• Strong understanding of data modeling, A/B testing, and predictive analytics

• Exceptional attention to data integrity, structure, and usability across multiple sources

• Experience in healthcare is preferred but not required

Preferred Education

• Master’s degree in a quantitative field such as Statistics, Computer Science, Marketing Analytics, or Business Analytics (or equivalent real-world experience)

Location and Workplace Flexibility

We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture, and all our employee's work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies.

  

Equal Employment Opportunity  
Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 
 
We welcome applicants from all backgrounds and encourage you to apply even if you don’t meet 100% of the qualifications for the role. We believe in the value of diverse perspectives and experiences and are committed to building an inclusive workplace for all. 

 

Accessibility Support 
We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email TalentAcquisition@zelis.com. 

  

Disclaimer 

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. 

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities, duties, and skills from time to time.