Director, Commercial Data Science

Slipstream IT•Hampton, NJ

About The Position

At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic consulting and global leadership management approach. Our solutions are exclusively designed for emerging pharma and biotech organizations. Slipstream’s industry-leading solutions free clients from the demands of internal IT and allow them to rapidly advance their mission. Led by a leadership team that has been together for over 10 years, you will join a proven team, culture, and strategy to drive innovation within the IT outsourcing industry while developing your skillset with opportunities for internal growth. Job Summary: Reporting to the Senior Director of Commercial Insights and Analytics, the Director of Data Science will be critical in shaping product market opportunities. This position will be the in-house expert on the commercial data warehouse, AI and machine learning, predictive modeling, and advanced analytics. This role will ensure the business can proactively create systems and functionality that will allow the Medical Affairs, Sales, Access, and Marketing teams to operate efficiently during the product launch and thereafter.

Requirements

BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or MS/PhD in a quantitative discipline with relevant working experience.
At least 7 years of related work experience (4+ years with an MS/PhD)
Strong experience in leveraging AI to develop and deliver data analysis and data science work.
Must have direct, hands-on experience building with Claude or a similar AI platform (e.g., agentic workflows, AI-assisted coding, prompt engineering) to accelerate modeling, analysis, and reporting.
Track record of embedding AI/ML tools and generative AI copilots into the data science lifecycle to improve speed and quality of insight delivery to business stakeholders
People management, including either direct or indirect reports
Experience leading cross-functional delivery and influencing exec stakeholders
Telling data-driven stories that allow teams and/or companies to develop internal strategy based on clear insights and recommendations
Proven ability to develop and deliver a product roadmap
Expert in Python, R, SQL, and at least one modern ML framework
Experience with cloud platforms and APIs
Deep experience with data stack components – SQL warehouse (Snowflake/Databricks/Redshift), orchestration (Airflow/DBT), BI (Tableau/Power BI)
Strong knowledge of biopharma data and compliance considerations

Responsibilities

Drive analytics projects end-to-end while working as a core member of the Brand team
Inspire, lead, and grow a team of data scientists to fulfill the company’s long-term vision and goals
Use data to quantify opportunities, determine present and future challenges, and shape the market strategy for product indications
Design, develop, and validate algorithms to identify healthcare providers and institutions that are likely to prescribe product using a hypothesis-driven approach
Guide the integration of diverse data sources as needed (claims, CRM, digital, payer, market research, third party sources) for end-to-end analytics to solve challenging problems
Actively influence the design of launch and post-launch KPIs for the commercial organization
Own the development of AI-powered tools that can enhance Sales and Medical Affairs interactions with providers (e.g., Provider briefings, next best action, NLP-powered summaries)
Champion the use of AI and generative AI tools (e.g., Claude and similar platforms) to accelerate the development and delivery of data analyses, statistical models, and dashboards, including automating exploratory analysis, code generation, and documentation to speed time-to-insight
Build team capability in AI-augmented data science practices, establishing standards and guardrails for responsible use of AI tools in analytics workflows
Serve as the trusted strategic partner between IT and the I&A unit