Data Scientist - Pharmacy Benefits
The Data Scientist role at Confidential Client focuses on advancing the Pharmacy Benefit Manager (PBM) member experience through advanced analytics, predictive modeling, and generative AI. This hands-on position involves collaborating with clinical and operational experts to design, build, and deploy data science solutions, managing the full project lifecycle from ideation to production monitoring. The role requires strong technical skills in Python, SQL, machine learning, and cloud tools, combined with the ability to communicate complex insights to business stakeholders.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Hospitals and Health Care.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client’s PBM analytics team is hiring a hands-on Data Scientist to develop production-ready ML and Generative AI solutions that improve member experience and operational quality. You will partner with clinical and operational teams to turn complex problems into usable, monitored models and pipelines.
- Partner closely with clinical and operations SMEs to map processes, identify bottlenecks, and translate needs into technical solutions
- Design, build, validate, and deploy data science solutions — from predictive models and rules engines to Generative AI (LLM) pipelines
- Manage end-to-end delivery: data extraction, feature engineering, modeling, production deployment, monitoring, and lifecycle maintenance
- Extract, curate, and analyze large-scale operational datasets using SQL and Python
- Create clear, data-driven narratives and presentations for clinical and business leadership to drive action
- Contribute to squad-level code reviews, version control (Git/GitHub), and CI/CD practices
Required Qualifications
- 1+ years professional experience writing production-grade code in Python and querying complex datasets with SQL
- 1+ years professional experience building, validating, and deploying machine learning or statistical models (including LLM-based solutions)
- Experience using Git/GitHub for version control and collaborative development
- Experience presenting findings and recommendations to cross-functional stakeholders
- Strong problem-solving, organization, and ability to work in a multi-disciplinary squad
Preferred Qualifications
- Proven initiative: independently structure ambiguous problems and engage process owners to define solutions
- Ability to translate technical model outputs into business risks, opportunities, and operational plans for non-technical audiences
- Practical experience with LLMs and Generative AI (prompt design, RAG, evaluation frameworks)
- Experience designing production monitoring: drift detection, alerting, dashboards, and model governance
- Domain familiarity with healthcare data (e.g., pharmacy claims, clinical workflows, unstructured clinical notes)
- Familiarity with Google Cloud Platform (GCP) or similar enterprise cloud environments and AI-assisted development tools
Education & Time Commitment
- Bachelor’s degree (or equivalent experience) in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field; Master’s or MBA strongly preferred
- Anticipated weekly hours: 40
- Time type: Full time
Compensation & Benefits
- Pay Range (base): $79,310.00 - $173,040.00 per year. Actual base salary depends on experience, education, geography, and other factors.
- This position is eligible for bonus, commission, or short-term incentive programs in addition to base pay.
- Confidential Client offers a comprehensive benefits package (medical, dental, vision, paid time off, retirement savings, wellness resources) where eligible. Additional benefit details are provided during the application process.
Location & Hiring Notes
- Job location: New York, NY — this role will work with cross-functional teams in that region.
- Careertakes and Confidential Client comply with applicable federal, state, and local hiring laws. Qualified applicants with arrest or conviction records will be considered in accordance with applicable law.
- Reasonable accommodation is available for applicants with disabilities — please notify us if you need assistance during the hiring process.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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