Commercial Data Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Manager, Commercial Data Analytics in Cambridge, MA, on a 6+ month hybrid contract. Requires a Master’s in a related field and 5–7 years in data science, preferably in pharma. Key skills include Python, R, SQL, and MMM expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 15, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Cambridge, MA
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🧠 - Skills detailed
#Statistics #Microsoft Power BI #Predictive Modeling #Tableau #Snowflake #BI (Business Intelligence) #AI (Artificial Intelligence) #Supervised Learning #Regression #Visualization #Datasets #Strategy #Computer Science #A/B Testing #Python #Mathematics #Data Science #Looker #SQL (Structured Query Language) #Unsupervised Learning #Clustering #NLP (Natural Language Processing) #R
Role description
Job Title : Sr Manager, Commercial Data Analytics
Location : Cambridge, MA
Duration : 06+ Months Contract
Shift Details : Hybrid (3 days in a week onsite)
Job Description:
You are a commercially minded data scientist who can model complex patient and HCP journeys, optimize multi-channel investments, and measure both short- and long-term marketing impact. You’ve built MMM models, run predictive analytics, deployed Next Best Action (NBA) frameworks, and translated digital performance data into ROI-driven decisions. You’re fluent in pharma datasets, comfortable productionizing models, and curious about applying GenAI and NLP to accelerate insights. You blend technical mastery, business acumen, and communication skills to influence senior stakeholders.
Qualifications
Required:
· Master’s degree (or higher) in Data Science, Statistics, Applied Mathematics, Computer Science, Business Analytics, or related field.
· 5–7 years of hands-on experience in data science or advanced analytics, preferably in pharmaceutical, biotech, or healthcare.
· Strong knowledge of supervised/unsupervised learning, regression, clustering, A/B testing, and optimization.
· Proficiency in Python, R, SQL and experience with data platforms such as Snowflake.
· Expertise in MMM tools, predictive modeling, and digital ROI measurement.
· Familiarity with commercial data sources: APLD, PlanTrak, specialty pharmacy, claims datasets.
· Strong communication skills with the ability to simplify complex analytics for non-technical audiences.
Preferred:
· Experience applying generative AI and NLP in commercial analytics.
· Familiarity with patient journey analytics, launch planning, and omnichannel strategy.
· Experience with visualization tools like Tableau, Power BI, or Looker.
Job Title : Sr Manager, Commercial Data Analytics
Location : Cambridge, MA
Duration : 06+ Months Contract
Shift Details : Hybrid (3 days in a week onsite)
Job Description:
You are a commercially minded data scientist who can model complex patient and HCP journeys, optimize multi-channel investments, and measure both short- and long-term marketing impact. You’ve built MMM models, run predictive analytics, deployed Next Best Action (NBA) frameworks, and translated digital performance data into ROI-driven decisions. You’re fluent in pharma datasets, comfortable productionizing models, and curious about applying GenAI and NLP to accelerate insights. You blend technical mastery, business acumen, and communication skills to influence senior stakeholders.
Qualifications
Required:
· Master’s degree (or higher) in Data Science, Statistics, Applied Mathematics, Computer Science, Business Analytics, or related field.
· 5–7 years of hands-on experience in data science or advanced analytics, preferably in pharmaceutical, biotech, or healthcare.
· Strong knowledge of supervised/unsupervised learning, regression, clustering, A/B testing, and optimization.
· Proficiency in Python, R, SQL and experience with data platforms such as Snowflake.
· Expertise in MMM tools, predictive modeling, and digital ROI measurement.
· Familiarity with commercial data sources: APLD, PlanTrak, specialty pharmacy, claims datasets.
· Strong communication skills with the ability to simplify complex analytics for non-technical audiences.
Preferred:
· Experience applying generative AI and NLP in commercial analytics.
· Familiarity with patient journey analytics, launch planning, and omnichannel strategy.
· Experience with visualization tools like Tableau, Power BI, or Looker.
