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About the Role
Metropolis is seeking a Senior Data Scientist, Growth Marketing to serve as the primary quantitative partner to Growth Marketing leadership, transforming real-world transactional and behavioral datasets into engines for user acquisition, retention, and gross profit expansion. This role requires a deep background in marketing measurement and causal inference, with proven experience in building multi-touch attribution systems, modeling customer lifetime value (LTV), and designing rigorous marketing experiments. The ideal candidate excels at building complex predictive models and translating data insights into clear business strategies for cross-functional stakeholders.
Responsibilities
- Design, deploy, and refine predictive models for Multi-Touch Attribution (MTA), Customer Lifetime Value (CLV), and Customer Acquisition Cost (CAC) efficiency to guide multi-channel marketing budget allocation.
- Conduct deep-dive cohort analyses and retention modeling to uncover drivers of user conversion, repeat behavior, and churn across the growth funnel.
- Lead the growth experimentation roadmap by designing, executing, and analyzing A/B tests, geo-experiments, holdout tests, and incrementality studies across digital and physical acquisition channels.
- Partner directly with Growth Marketing and Finance leaders to optimize unit economics, justify marketing spend against gross profit targets, and set channel-level growth goals.
- Collaborate with analytics and data engineering teams to establish event tracking requirements, build scalable growth data pipelines, and develop automated executive dashboards.
- Utilize advanced AI tools and modern analytics frameworks to transform static analytical workflows into responsive, high-output processes.
Requirements
- 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 for complex data manipulation, statistical modeling, and predictive analytics.
- 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 to drive measurable bottom-line growth.
- Excellent analytical, problem-solving, and communication skills to make complex data stories intuitive and actionable.
- Experience leveraging AI tools to transform static workflows into responsive, high-output processes.
Skills
- Python
- SQL
- Multi-Touch Attribution (MTA)
- Customer Lifetime Value (CLV)
- Customer Acquisition Cost (CAC)
- Cohort Analysis
- Retention Modeling
- A/B Testing
- Geo-experiments
- Holdout Tests
- Incrementality Studies
- Causal Inference
- Media Mix Modeling (MMM)
- AI Tools
- AWS S3
- SageMaker
- Airflow
- Snowflake
- dbt
- Looker
- Tableau
- scikit-learn
- TensorFlow
- PyTorch
Location
- On-site (4 days a week)
Work Type
- On-site
- Full-time
Experience Level
- Senior
- 6+ years
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- $190,000 USD to $220,000 USD annually
Benefits
- Healthcare benefits
- 401(k) plan
- Short-term and long-term disability coverage
- Basic life insurance
- Lucrative stock option plan
- Bonus plans
About the Company
- Metropolis is creating artificial intelligence to make the real world responsive, pioneering the Recognition Economy where mundane repetition disappears and being known unlocks access, comfort, and belonging. We are building a world that feels instinctive and magical by transforming parking and expanding our intelligence layer across retail and hospitality. We are looking for builders, innovators, and problem solvers to help create this future. We aim to build an inclusive culture where everyone has a voice and the best idea wins.
Equal Opportunity
- Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
- We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.