Associate Director, Data Science and AI - Marketing Mix and Resource Optimization
Biogen
6 months ago
Remote friendly (Cambridge, MA)
United States
Marketing
Responsibilities:
- 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 long-term Data Science and AI vision aligned with enterprise roadmaps and commercial priorities.
- Partner with insights and marketing teams; serve as primary DS partner for U.S. commercial brand teams.
- Guide stakeholders on insight interpretation and activation; integrate outputs into workflows.
- Provide technical expertise for analytical tools and proprietary data products.
- Promote analytical rigor, responsible experimentation, and model governance best practices.
- Lead/mentor a team of data scientists and manage external analytics partners.
Required Skills/Qualifications:
- 7+ years analytics/data science; 4+ years leading data science product builds/teams/programs.
- Pharma/Biotech experience with Marketing Mix and Portfolio Optimization.
- Statistical modeling (supervised/unsupervised), A/B testing, time-series forecasting.
- Experience deploying DS solutions in commercial settings (pharma/biotech/healthcare).
- Proficient in Python, R, SQL, Snowflake; Power BI/Tableau (or similar) experience.
- Experience with marketing optimization models and omnichannel analytics.
- Strong communication/influencing; comfort presenting to senior stakeholders.
Preferred Skills:
- Master’s degree in data science, statistics, engineering, computer science, business analytics, or related field.
Benefits (as stated):
- Medical, Dental, Vision, Life; fitness/wellness with reimbursement; short-/long-term disability; paid vacation (15 days) and end-of-year shutdown (Dec 26–Dec 31); holidays; sick time; paid maternity/parental leave; 401(k) with match; stock purchase plan; tuition reimbursement (up to $10,000/yr); Employee Resource Groups participation.
- 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 long-term Data Science and AI vision aligned with enterprise roadmaps and commercial priorities.
- Partner with insights and marketing teams; serve as primary DS partner for U.S. commercial brand teams.
- Guide stakeholders on insight interpretation and activation; integrate outputs into workflows.
- Provide technical expertise for analytical tools and proprietary data products.
- Promote analytical rigor, responsible experimentation, and model governance best practices.
- Lead/mentor a team of data scientists and manage external analytics partners.
Required Skills/Qualifications:
- 7+ years analytics/data science; 4+ years leading data science product builds/teams/programs.
- Pharma/Biotech experience with Marketing Mix and Portfolio Optimization.
- Statistical modeling (supervised/unsupervised), A/B testing, time-series forecasting.
- Experience deploying DS solutions in commercial settings (pharma/biotech/healthcare).
- Proficient in Python, R, SQL, Snowflake; Power BI/Tableau (or similar) experience.
- Experience with marketing optimization models and omnichannel analytics.
- Strong communication/influencing; comfort presenting to senior stakeholders.
Preferred Skills:
- Master’s degree in data science, statistics, engineering, computer science, business analytics, or related field.
Benefits (as stated):
- Medical, Dental, Vision, Life; fitness/wellness with reimbursement; short-/long-term disability; paid vacation (15 days) and end-of-year shutdown (Dec 26–Dec 31); holidays; sick time; paid maternity/parental leave; 401(k) with match; stock purchase plan; tuition reimbursement (up to $10,000/yr); Employee Resource Groups participation.