Senior Data Scientist, Commercial Analytics (Pharma) - Marketing Mix
Analytic Recruiting Inc
Our client, a leading global pharma company, is seeking a Senior Data Scientist (AD) to lead the development of advanced analytics and AI solutions that drive strategic decisions across Marketing, Sales, Medical, and Market Access . This role focuses on Marketing Mix Modeling (MMM) , resource allocation , and machine learning–based personalization to improve commercial performance and investment efficiency.
- Location: ONSITE, Cambridge, MA
- Salary: to 250K + bonus and incentives
- NO SPONSORSHIP
RESPONSIBILITIES:
- Lead development and deployment of Marketing Mix Models (MMM) to quantify channel level promotional impact
- Measure ROI across field force, digital, media, speaker programs, and patient initiatives
- Build resource allocation and optimization frameworks to guide commercial investment decisions
- Support annual brand planning , scenario modeling, and in year budget reallocation
- Drive the long term data science and AI vision for commercial analytics
- Serve as a strategic partner to Insights, Marketing, and Access teams
- Translate brand objectives into scalable analytical solutions and machine learning pipelines
- Guide stakeholders through insight activation and integration into workflows
- Provide technical leadership on analytical tools, model governance, and responsible experimentation
- Collaborate with and mentor a high performing team of data scientists
- Manage external analytics partners to ensure alignment and delivery
Requirements:
- 7+ years in analytics or data science, including 4+ years leading data science products, teams, or programs
- Experience in pharma or biotech , specifically with Marketing Mix Modeling and commercial optimization
- Strong command of statistical modeling , supervised/unsupervised learning, A/B testing, and time series forecasting
- Experience deploying data science solutions in a commercial environment
- Proficiency in Python, R, SQL, Snowflake ; familiarity with Power BI, Tableau , or similar tools
- Proven experience with omnichannel analytics , marketing optimization, and machine learning pipelines
- Excellent communication and stakeholder influencing skills
Preferred Skills
- Master’s degree in Data Science, Statistics, Engineering, Computer Science, Business Analytics , or related field
- Experience building proprietary data products or commercial decision engines
$204.5k - $267k
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