Senior Data Scientist (Marketing Mix Models)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (Marketing Mix Models) with a contract length of unspecified duration, offering $77.00 hourly (W2 only). Requires 7+ years in data science, proficiency in Python, R, SQL, and experience in healthcare analytics. Hybrid work location.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
616
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πŸ—“οΈ - Date discovered
August 14, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Cambridge, MA
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🧠 - Skills detailed
#Sales Forecasting #Data Science #Clustering #R #Python #SQL (Structured Query Language) #Compliance #Datasets #Unsupervised Learning #Regression #Snowflake #Strategy #Supervised Learning #AI (Artificial Intelligence) #Forecasting #A/B Testing
Role description
Pay: $77.00 Hourly (W2 Only) We are a national staffing firm and are currently seeking a --- for a prominent client of ours. Details for the position are as follows: Job Description: $77 Hourly (W2 Only) β€’ Key contributor to our U.S. Data Science team, developing advanced analytic solutions that drive strategic initiatives across Marketing, Sales, Access, and Digital. This role is ideal for a hands-on data scientist who thrives at the intersection of analytics, commercial strategy, and healthcare innovation. β€’ Someone who can build robust models, translate data into action, and collaborate with cross-functional partners to influence decisions. β€’ You'll design and deploy Marketing Mix Models (MMM), develop predictive and patient-level analytics, measure digital ROI, and apply generative AI to commercial challenges - all while working with unique biopharma datasets and within a compliance-driven environment. β€’ Independently design, build, and deploy predictive models for HCP targeting, patient initiation/adherence, sales forecasting, and resource allocation. β€’ Lead Next Best Action (NBA) strategy development to improve HCP engagement, field force productivity, and tailored omnichannel experiences. β€’ Develop and productionize Patient 360 models and lead generation algorithms using patient-level, market, and specialty pharmacy data. β€’ Bachelor’s degree and 7+ years of hands-on experience in data science or advanced analytics, preferably in pharmaceutical, biotech, or healthcare. β€’ Strong knowledge of supervised/unsupervised learning, regression, clustering, A/B testing, and optimization. β€’ Proficiency in Python, R, SQL and experience with data platforms such as Snowflake. β€’ Hybrid 3 days' work in office If you are interested in hearing more about the position please respond to this posting with your resume attached or contact me at T.gillitzer@TheFountainGroup.com