Drimva

Metropolis

Senior Data Scientist, Growth Marketing

$200K–$230K

New York, New York, United States +4 · Senior · Full-time · Posted Oct 21, 2026

Location
New York, New York, United States
Chicago, Illinois, United States
Los Angeles, California, United States
Nashville, Tennessee, United States
Seattle, Washington, United States
Experience
6+ years.
Education
Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.

About the job

Serves as the quantitative partner to Growth Marketing, using transactional and behavioral data to improve acquisition, retention, marketing efficiency, and gross profit.

What you'll do

  • Build and refine attribution, customer lifetime value, and acquisition-cost models to guide marketing budgets.
  • Lead cohort and retention analyses, experiments, and incrementality studies across digital and physical channels.
  • Partner with Growth, Finance, Product, and data teams on unit economics, data pipelines, tracking, and executive dashboards.

What they ask for

  • Bachelor’s or Master’s degree in a quantitative field.
  • 6+ years of experience as a Data Scientist or Analytics Lead focused on growth marketing, performance media, or adtech.
  • Advanced proficiency in Python and SQL, with expertise in growth measurement, attribution, retention, and LTV/CAC.
  • Hands-on experimentation and causal inference experience; experience leveraging AI tools in analytical workflows.

Nice to have

  • Cloud platforms including AWS S3, SageMaker, and Airflow; data tools including Snowflake, dbt, Looker, and Tableau.
  • MMM frameworks such as Robyn or LightweightMMM, or machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.

Pay

$200,000 USD to $230,000 USD annually (base salary)

Tools

Python, SQL, AWS S3, SageMaker, Airflow, Snowflake, dbt, Looker

AI focus

Use advanced AI tools to transform static analytical workflows into responsive, high-output processes.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)