Drimva

Meta

Marketing Science Partner

$130K–$193K

New York, NY · Full-time · Posted Oct 15, 2026

Experience
8+ years of consulting, research, or analytics experience; no alternatives stated.
Education
Bachelor's degree in a directly related field, or equivalent practical experience.

About the job

Supports North American clients in measuring and improving advertising effectiveness through research, experiments, analytics, and AI-enabled measurement workflows.

What you'll do

  • Develop measurement plans, design experiments, and conduct ad-effectiveness research for clients and agencies.
  • Translate research findings into recommendations, guide adoption of measurement practices, and collaborate with sales, product, partnerships, and third-party vendors.
  • Build AI tools and workflows for measurement and attribution, validating outputs for statistical rigor, causality, and client needs.

What they ask for

  • Bachelor's degree in a directly related field, or equivalent practical experience.
  • 8+ years of consulting, research, or analytics experience using data and numbers to formulate insights.
  • Experience scoping and executing research projects; analyzing datasets; and working with large datasets using SQL or similar tools.
  • Experience with digital advertising measurement methods and technologies, such as field experiments, experimental design, survey sampling, and/or panel data.

Nice to have

  • Advanced degree in a quantitative field or a Masters of Business Administration.
  • Experience with statistical methods and software such as R, SPSS, SAS; AI skill development and responsible AI practices.

Pay

$130,000/year to $193,000/year USD base salary; bonus and equity amounts not stated.

Tools

SQL, R, SPSS, SAS

AI focus

Build AI tools and workflows for measurement, attribution, and client recommendations; use AI to improve ad-effectiveness research while preserving statistical rigor and causality; validate AI outputs and apply responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 5, 2026 (UTC)