Lead development and deployment of Marketing Mix Models (MMM) to measure channel-level promotional impact
Quantify ROI across field force, digital, media, speaker programs, and patient initiatives
Build resource allocation optimization frameworks to improve commercial investment efficiency
Support annual brand planning and in-year budget reallocation through scenario modeling
Execute the long-term data science and AI vision, ensuring alignment with enterprise capability roadmaps and commercial priorities.
Act as a trusted partner to insights and marketing teams, demonstrating rigor and knowledge in data science algorithms.
Serve as the primary data science partner for U.S. commercial brand teams, translating business objectives into analytical frameworks.
Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows.
Provide technical expertise and thought leadership on the development of analytical tools and proprietary data products.
Promote analytical rigor, responsible experimentation, and model governance best practices.
Collaborate with a high-performing team of data scientists, encouraging learning and experimentation.
Manage relationships with external analytics partners, ensuring alignment with internal teams for solution delivery.

Minimum 7 years of hands-on analytics or data science experience, including at least 4 years leading data science product builds, teams, or programs.
Strong command of statistical modeling supervised and unsupervised learning, A/B testing, and time-series forecasting.
Strong experience in marketing mix, portfolio optimization.
Experience deploying data science solutions in a commercial setting, ideally within pharma, biotech, or healthcare.
Proficient in Python, R, SQL, and Snowflake; experience with Power BI, Tableau, or other data visualization tools.
Proven track record of designing and implementing, marketing optimization models, and omnichannel analytics.
Strong communication and influencing skills; comfortable presenting to senior stakeholders and cross-functional teams.

Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short
and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation

Associate Director, Data Science and AI – Resource Optimization

Key skills