

Insight Global
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on a 12-month contract, paying $65/hour, hybrid in NYC. Requires 7+ years in data science, 4+ years in MMM, strong Python/R, SQL skills, and experience with model deployment and media planning.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
-
ποΈ - Date
May 26, 2026
π - Duration
More than 6 months
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ποΈ - Location
Hybrid
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π - Contract
Unknown
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π - Security
Unknown
-
π - Location detailed
New York, NY
-
π§ - Skills detailed
#Data Engineering #GCP (Google Cloud Platform) #BigQuery #R #AI (Artificial Intelligence) #Deployment #Leadership #Cloud #Python #Strategy #Model Deployment #SQL (Structured Query Language) #Data Science
Role description
Weβre hiring a Senior Data Scientist to own end-to-end Marketing Mix Modeling (MMM) and conversion/attribution analytics. This is a hands-on role for someone who has shipped models to production, influenced real ad spend decisions, and can partner directly with Sales, Strategy, and Planning leadership.
MMM & Media Planning (60%)
β’ Own MMM end-to-end: data prep β modeling β validation β production
β’ Build & maintain pipelines with Data Engineering (GCP) across linear, streaming, audio, and digital
β’ Translate outputs into actionable planning insights (budget allocation, channel mix, optimization)
β’ Integrate MMM into internal tools for planning & campaign measurement
β’ Calibrate models with lift studies and reconcile against MTA/platform data
Attribution & Conversion Analytics (30%)
β’ Build and productionize multi-touch attribution (MTA) models
β’ Analyze 1P / 2P / 3P data (pixels, viewership, retail, search, etc.) to measure campaign performance
Execution & Stakeholder Ownership (10%)
β’ Write production-level code and own model deployment
β’ Present insights to VP+ stakeholders, agencies, and advertisers
β’ Independently drive initiatives from concept β production
β’ Collaborate with engineers, data scientists, and product teams
Required:
β’ 7+ years in data science (4+ years in MMM / marketing measurement)
β’ Proven experience shipping models + pipelines to production
β’ Strong Python/R + SQL + modern data stack (cloud, CI/CD, orchestration)
β’ Deep experience with MMM, MTA, incrementality testing, lift studies
β’ Experience with MMM frameworks (e.g., Robyn, PyMC, Meridian, LightweightMMM)
β’ Strong executive communication (technical + business audiences)
β’ Ability to work hybrid in NYC (4 days/week)
Preferred:
β’ Media-side experience (publisher, streaming, ad-tech, agency)
β’ Exposure to ACR / set-top box / streaming data
β’ Experience with 3rd-party data providers (NIQ, Polk, EDO, etc.)
β’ GCP (BigQuery, Vertex AI, Composer)
β’ Familiarity with clean rooms, identity graphs, cross-platform measurement
β’ Background in causal inference (GeoLift, synthetic controls, uplift modeling)
IG has benefit options available at a discount from Day 1 of employment. This is a 12month contract to start paying around $65/hour.
Weβre hiring a Senior Data Scientist to own end-to-end Marketing Mix Modeling (MMM) and conversion/attribution analytics. This is a hands-on role for someone who has shipped models to production, influenced real ad spend decisions, and can partner directly with Sales, Strategy, and Planning leadership.
MMM & Media Planning (60%)
β’ Own MMM end-to-end: data prep β modeling β validation β production
β’ Build & maintain pipelines with Data Engineering (GCP) across linear, streaming, audio, and digital
β’ Translate outputs into actionable planning insights (budget allocation, channel mix, optimization)
β’ Integrate MMM into internal tools for planning & campaign measurement
β’ Calibrate models with lift studies and reconcile against MTA/platform data
Attribution & Conversion Analytics (30%)
β’ Build and productionize multi-touch attribution (MTA) models
β’ Analyze 1P / 2P / 3P data (pixels, viewership, retail, search, etc.) to measure campaign performance
Execution & Stakeholder Ownership (10%)
β’ Write production-level code and own model deployment
β’ Present insights to VP+ stakeholders, agencies, and advertisers
β’ Independently drive initiatives from concept β production
β’ Collaborate with engineers, data scientists, and product teams
Required:
β’ 7+ years in data science (4+ years in MMM / marketing measurement)
β’ Proven experience shipping models + pipelines to production
β’ Strong Python/R + SQL + modern data stack (cloud, CI/CD, orchestration)
β’ Deep experience with MMM, MTA, incrementality testing, lift studies
β’ Experience with MMM frameworks (e.g., Robyn, PyMC, Meridian, LightweightMMM)
β’ Strong executive communication (technical + business audiences)
β’ Ability to work hybrid in NYC (4 days/week)
Preferred:
β’ Media-side experience (publisher, streaming, ad-tech, agency)
β’ Exposure to ACR / set-top box / streaming data
β’ Experience with 3rd-party data providers (NIQ, Polk, EDO, etc.)
β’ GCP (BigQuery, Vertex AI, Composer)
β’ Familiarity with clean rooms, identity graphs, cross-platform measurement
β’ Background in causal inference (GeoLift, synthetic controls, uplift modeling)
IG has benefit options available at a discount from Day 1 of employment. This is a 12month contract to start paying around $65/hour.






