Senior Data Scientist, Commercial Analytics (Pharma) - Marketing Mix

Analytic Recruiting Inc.
Cambridge, GB; US
On-site

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
High
Decision Impact
Team
Role Level
Team Lead

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Developed advanced analytics and AI solutions
  • Quantified channel level promotional impact
  • Supported annual brand planning
Typical background
Pharma or biotech experience7+ years in analytics or data science

Transferable backgrounds

  • Coming from Data Scientist
  • Coming from Machine Learning Engineer
  • Coming from Analytics Manager

Skills & requirements

Required

Marketing Mix ModelingResource AllocationMachine LearningPythonRSQLStatistical ModelingTime Series ForecastingData Science Solutions DeploymentCommunication Skills

Preferred

Master’s Degree In Data Science, Statistics, Engineering, Computer Science, Business Analytics

Stack & domain

PythonRSQLSnowflakePower BiTableauLeadershipCommunicationStakeholder InfluencingPharmaBiotechMarketing Mix ModelingCommercial OptimizationMachine Learning Pipelines

About the role

Original posting from 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

Source: Analytic Recruiting Inc. careers

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