- Department
- Education
Description
Job description
A healthcare organization is seeking a hands-on Data Scientist with Pharmacy Benefit Management (PBM) experience to solve complex data and analytics problems. The Data Scientist will work with large healthcare datasets using SQL and Python while supporting analytics, machine learning, and Large Language Model (LLM) initiatives, including agentic AI applications.
This position is highly business-facing and requires strong communication, curiosity, and ownership. The Data Scientist should be comfortable working from a business objective, identifying the questions that need to be answered, evaluating available data, recommending an approach, and independently moving the work forward.
Success requires more than executing predefined requests. The Data Scientist must proactively identify gaps, challenge assumptions when appropriate, communicate risks early, and explain the reasoning behind technical and analytical decisions to stakeholders.
Responsibilities
- Translate business objectives into practical data, analytics, and technical solutions.
- Own analytical work from problem definition and exploration through implementation, validation, and delivery.
- Use SQL and Python to query, transform, analyze, and interpret large, complex datasets.
- Work through incomplete, inconsistent, or imperfect data to determine practical paths forward.
- Evaluate machine learning and analytical methods based on the business problem and available data.
- Explain why specific models, methodologies, or analytical approaches are appropriate for a given use case.
- Identify unclear requirements, data gaps, dependencies, and potential risks early and proactively raise questions.
- Recommend alternative approaches when they may better address the underlying business objective.
- Communicate progress, findings, risks, and recommendations clearly to business and technical stakeholders.
- Apply critical thinking rather than relying solely on predefined instructions or requested approaches.
- Contribute to machine learning, LLM, and agentic AI initiatives based on project requirements.
- Collaborate with stakeholders to ensure technical and analytical work supports broader business objectives.
Required experience and skills
- Experience working within a Pharmacy Benefit Management (PBM) environment.
- Strong hands-on SQL skills for querying and analyzing large or complex datasets.
- Strong hands-on Python experience for data analysis, data processing, and analytical development.
- Experience working with large datasets and performing complex data analysis.
- Experience applying machine learning techniques to real-world data or business problems.
- Experience with Large Language Models (LLMs), including implementing agentic AI or LLM-based solutions.
- Ability to assess multiple analytical or machine learning approaches and select an appropriate method based on the problem being solved.
- Ability to clearly explain technical decisions, including model selection, methodology, assumptions, and potential alternatives.
- Experience solving problems where requirements or the path to completion are not fully defined.
- Strong critical-thinking and problem-solving skills.
- Ability to independently manage assignments and drive work through completion.
- Strong stakeholder communication skills and comfort operating in a highly visible, business-facing capacity.
- Ability to proactively ask questions, clarify requirements, identify potential issues, and communicate risks before they affect delivery.
- Ability to work effectively with complex, incomplete, or imperfect healthcare data.
- A proactive and inquisitive working style with the ability to connect individual analyses and technical requests to broader business objectives.