Remote Senior Data Scientist
Role details
Job location
Tech stack
Job description
Insight Global is seeking a Senior Data Scientist to support a large healthcare client's Product organization and help drive the evolution of PBM-focused data products through advanced analytics, AI/LLM capabilities, and intelligent automation. This individual will partner closely with Product Managers, Data Engineers, QA Engineers, and UX/UI teams to analyze complex datasets, identify data gaps and opportunities, improve model performance, and develop data-driven solutions that enhance product intelligence and user experience. The role will play a key part in supporting chatbot, generative AI, and recommendation engine initiatives, including evaluating AI-generated outputs, refining business logic, and helping define requirements for new AI-enabled product features. The ideal candidate combines strong data science fundamentals with hands-on expertise in Python, SQL, and Databricks, and has experience applying AI/ML solutions to real-world business challenges. Healthcare experience is
Requirements
required, with PBM experience strongly preferred, as the team is seeking someone who can quickly contribute to a fast-paced, product-focused environment and help deliver smarter, more scalable, and self-serviceable solutions., * 7-10+ (more like 7-8 ) years of experience in Data Science, Advanced Analytics, or a related field
- 3+ years of experience supporting AI/ML initiatives, including LLMs, NLP, chatbots, recommendation engines, or similar intelligent products
- Healthcare experience; PBM experience strongly preferred
- Strong hands-on experience with Python and SQL
- Experience with Databricks or similar cloud-based analytics platforms
- Strong analytical background with experience evaluating complex datasets and identifying trends, gaps, and opportunities
- Experience partnering with Product Managers, Data Engineers, and cross-functional teams
- Ability to translate business problems into data-driven solutions and actionable recommendations
- Experience applying machine learning frameworks
- Analyze data for trends and patterns, and interpret data with clear objectives in mind
- Implement analytical models in production by collaborating with data engineers
Nice to Have Skills & Experience
- Experience with chatbot optimization, prompt engineering, or conversational AI
- Experience with BigQuery and/or Gemini
- Experience working with front-end product teams and user-facing applications (don't need these bullet points)
- Exposure to healthcare contract data, business rules engines, or impact analysis workflows
Benefits & conditions
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.