Senior Data Scientist (Growth Marketing)

Metropolis; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Equity options

Wellness program

Health insurance (subsidised)

401(k) match

Parental leave

Unlimited PTO

Paid holidays

Hybrid environment

Job summary

Metropolis is seeking a Senior Data Scientist to lead growth analytics and build MTA, CLV, and CAC models that guide multi-channel budget allocation. The role involves deep cohort analyses and retention modeling to uncover drivers of conversion and churn.

You will design and execute A/B, geo-experiments, holdouts, and incrementality studies across digital and physical channels, partnering with Growth Marketing and Finance to optimize unit economics.

Qualifications

• 6+ years as a Data Scientist or Analytics Lead in growth marketing.
• Strong modeling skills for multi-touch attribution and LTV/CAC.
• Proven ability to run experiments and drive data-driven decisions.

Responsibilities

• Design, deploy and refine MTA, CLV, CAC models to guide marketing spend.
• Conduct cohort analyses and retention modeling across funnel stages.
• Lead growth experiments including geo-tests and incrementality studies.
• Partner with Growth Marketing and Finance to optimize unit economics.
• Collaborate with analytics and data engineering to build scalable pipelines and dashboards.
• Apply AI tools to modernize analytics workflows and increase output.

Skills

MTA modeling

CAC optimization

Cohort analysis

A/B testing

Geo-testing

Python

SQL

Data storytelling

Communication

Education

Master’s or PhD in CS/Math/Statistics/Economics

Tools

AWS S3

SageMaker

Airflow

Snowflake

dbt

Looker

Tableau

Job description

• 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 our location-based 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

Benefits

• We subsidize high-quality health insurance coverage for full-time and hourly employees
• Equity options - We offer ownership opportunities through stock options
• Wellness benefits - A wellness program designed to support a variety of needs
• Health insurance - We subsidise high-quality health insurance coverage for full-time and hourly employees
• 401(k) match - Plan for your future with a 4% company match
• Parental leave - Receive support prior to, during leave, and as you transition back to work
• Time off - Unlimited PTO for salaried employees, and a generous PTO package for our hourly employees
• Paid holidays - We observe major holidays with company-wide closures, and double hourly rates for those who work
• Hybrid environment - Magic happens face to face, but we support a flexible working model

Strong business acumen with a track record of partnering with senior executives in Growth, Product, and Finance to drive measurable bottom-line growthExperience leveraging AI tools to transform static workflows into responsive, high-output processesBachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative fieldHands-on experience with statistical experimentation and causal inference techniques such as A/B testing, geo-testing, synthetic controls, and media mix modelingAdvanced proficiency in Python and SQL for complex data manipulation, statistical modeling, and predictive analyticsExcellent analytical, problem-solving, and communication skills to make complex data stories intuitive and actionable6+ years of proven experience as a Data Scientist or Analytics Lead, with a distinct focus on growth marketing, performance media, or adtechDeep domain expertise in growth measurement frameworks, multi-touch attribution, cohort retention modeling, and LTV/CAC dynamicsExperience with cloud platforms, including AWS S3, SageMaker, and AirflowExperience with cloud data warehouses and modern data tools such as Snowflake, dbt, Looker, and TableauFamiliarity with Media Mix Modeling (MMM) frameworks including Robyn and LightweightMMMHands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch applied to user segmentation or churn predictionAbility to write clean, efficient, robust, and well-commented code to produce high-quality data science procedures