Senior Data Scientist – Marketing Mix Modeling (MMM) – NYC Local Only (Hybrid)

Hybrid in New York, NY, US • Posted 9 hours ago • Updated 9 hours ago
Contract Independent
Contract W2
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Marketing Mix Modeling
  • Marketing Science
  • Ads Measurement
  • Media Mix
  • Causal Inference
  • dTech
  • Data Science
  • Python
  • SQL
  • NYC

Summary

🧾 Job Title

Senior Data Scientist – Marketing Mix Modeling (MMM) – NYC Local Only (Hybrid)


📝 Job Description

⚠️ NYC LOCAL CANDIDATES ONLY – Must currently be based in the NYC area and able to work onsite 4 days/week. No relocation or remote options.

We are hiring a Senior Data Scientist (Individual Contributor) to lead the development and ownership of production-grade Marketing Mix Modeling (MMM) systems for large-scale marketing measurement.

This is not an experimentation-only or reporting role. We are specifically looking for candidates who have built, deployed, and owned MMM models in production environments.


🔍 Key Responsibilities

  • Design, build, and maintain end-to-end MMM models in production
  • Own the full lifecycle: data pipelines, modeling, deployment, and optimization
  • Translate MMM outputs into budget allocation and marketing strategy decisions
  • Work with large-scale, multi-channel data (digital, TV, streaming, etc.)
  • Partner with stakeholders to drive measurable business impact

✅ Required Qualifications

  • Proven experience building and owning Marketing Mix Models (MMM) in production
  • Strong background in marketing / ads measurement systems
  • Hands-on experience with Python or R, SQL, and large-scale data
  • Experience with causal inference, time-series, or Bayesian modeling in production
  • Ability to clearly explain real business impact from MMM models
  • Must be currently based in NYC / NJ / CT (commutable distance)

⭐ Preferred Qualifications

  • Experience in ad-tech, media, publisher, or streaming environments
  • Familiarity with ACR, set-top box, or streaming viewership data
  • Experience with cross-channel measurement and attribution systems
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10275060
  • Position Id: 8956682
  • Posted 9 hours ago
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