Insight Global

Data Scientist

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
520
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πŸ—“οΈ - Date
May 26, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, NY
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🧠 - 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
We’re 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.