Senior Data Scientist, Growth Marketing

The role

You will serve as the primary quantitative partner to Growth Marketing leadership. You will turn transactional and behavioral datasets into engines for user acquisition, retention, and gross profit expansion.

What you will do

• Design, deploy, and refine predictive models for Multi-Touch Attribution (MTA), Customer Lifetime Value (CLV), and Customer Acquisition Cost (CAC) efficiency
• Conduct deep-dive cohort analyses and retention modeling
• Lead the growth experimentation roadmap by designing, executing, and analyzing A/B tests, geo-experiments, holdout tests, and incrementality studies
• Partner with Growth Marketing and Finance leaders to optimize unit economics and set growth goals
• Collaborate with analytics and data engineering teams to establish event tracking requirements and build data pipelines
• Develop automated executive dashboards
• Utilize advanced AI tools and modern analytics frameworks

Required qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field
• 6+ years of proven experience as a Data Scientist or Analytics Lead, with a distinct focus on growth marketing, performance media, or adtech
• Advanced proficiency in Python and SQL
• Deep domain expertise in growth measurement frameworks, multi-touch attribution, cohort retention modeling, and LTV/CAC dynamics
• Hands-on experience with statistical experimentation and causal inference techniques such as A/B testing, geo-testing, synthetic controls, and media mix modeling
• Strong business acumen with a track record of partnering with senior executives in Growth, Product, and Finance
• Excellent analytical, problem-solving, and communication skills
• Experience leveraging AI tools to transform static workflows

Nice to have

• Experience with cloud platforms, including AWS S3, SageMaker, and Airflow
• Experience with cloud data warehouses and modern data tools such as Snowflake, dbt, Looker, and Tableau
• Familiarity with Media Mix Modeling (MMM) frameworks including Robyn and LightweightMMM
• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch applied to user segmentation or churn prediction
• Ability to write clean, efficient, robust, and well-commented code

Benefits

• healthcare benefits
• 401(k) plan
• short-term and long-term disability coverage
• basic life insurance
• lucrative stock option plan
• bonus plans

Before you apply

• Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy

About the company

Metropolis is creating artificial intelligence to make the real world responsive. They are building an ecosystem of technologies at the intersection of parking, mobility, and real estate.