Metropolis
Senior Data Scientist, Growth Marketing
$190K–$220K
Los Angeles, California, United States +4 · Senior · Full-time · Posted Oct 21, 2026
- Location
- Los Angeles, California, United States
Chicago, Illinois, United States
Nashville, Tennessee, United States
New York, New York, United States
Seattle, Washington, United States - Experience
- 6+ years; Data Scientist or Analytics Lead experience focused on growth marketing, performance media, or adtech.
- 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; analyze cohorts and retention.
- Lead marketing experiments, including A/B tests, geo-experiments, holdouts, and incrementality studies.
- Partner with Growth, Finance, and data teams on marketing spend, growth goals, data pipelines, and executive dashboards.
What they ask for
- Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Economics.
- 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.
- Expertise in growth measurement, attribution, retention modeling, LTV/CAC, experimentation, and causal inference.
Nice to have
- Experience with cloud platforms such as AWS S3, SageMaker, and Airflow, and data tools such as Snowflake, dbt, Looker, and Tableau.
- Familiarity with Robyn or LightweightMMM, or machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
Pay
$190,000 USD to $220,000 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; experience leveraging AI tools is required.
Model-written summary · the original posting is authoritative