

Senior Data Scientist (Marketing Mix Models)
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
616
-
ποΈ - Date discovered
August 14, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
Cambridge, MA
-
π§ - 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’ Bachelorβs 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
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’ Bachelorβs 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