JOB-1982
A data and analytics company serving pharmaceutical commercial teams converts provider-level signals into targeting, prioritization and suggested actions for field sales organizations. It is hiring a senior applied data scientist with an engineering mindset to work on the front line of client delivery, embedded in brand teams and building models that people act on every week.
Engagement scope
- Delivery for your clients from the opening scoping conversation to live deployment and continued refinement, acting as the technical owner they rely on
- Thorough understanding of every brand’s disease area, patient pathway, sales-force setup and business limits, enough to question a brief and propose something stronger
- Durable working relationships with brand managers, commercial operations, field management, analytics and IT colleagues, including getting through medical-legal review, privacy and governance requirements
- Custom models built on the company’s proprietary data, such as physician prioritization, patient-to-provider linkage, switching prediction and territory logic
- Clear, defensible presentations for non-technical audiences, plus reusable signals and product requirements fed back to the company
Credentials
- Six or more years as a data scientist, ML engineer or technical solutions specialist shipping to production, including time in life sciences or consulting on commercial problems for drug makers
- Fluent Python and SQL, able to carry work from exploratory analysis to a production pipeline alone
- Hands-on work in a major cloud (AWS, GCP or Azure) alongside contemporary warehouse tooling like Snowflake, Databricks or BigQuery
- Strong communication with senior pharma audiences, composed under tough live questions
- Fast pace, high ownership and readiness to visit clients on location
- A plus: knowledge of claims, prescription and provider data, rare-disease launches and regulated data environments
Remote within the United States. Visa sponsorship and transfers are not available.
