Senior Data Scientist, Growth & Acquisition Analytics

Metropolis; Chicago (IL); On-site; USD 170,000 - 200,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Disability coverage

Life insurance

Stock options

Bonus plans

Job summary

Metropolis is seeking a Senior Data Scientist, Growth Marketing to join our growing data team. You will partner with Growth Marketing leadership to turn massive real-world datasets into engines for user acquisition, retention, and gross profit expansion.

You will build multi-touch attribution, lifetime value models, and conduct rigorous experiments, translating data insights into actionable business strategies for cross-functional partners in Growth, Product, and Finance.

Qualifications

• 6+ years as a Data Scientist or Analytics Lead focused on growth marketing.
• Strong Python/SQL for data manipulation and modeling.
• Expertise in growth measurement, MTA, LTV/CAC dynamics, and experiments.

Responsibilities

• Design and deploy predictive models for MTA, CLV, and CAC efficiency for multi-channel budget allocation.
• Conduct cohort analyses and retention modeling to drive conversion and churn insights.
• Lead the growth experimentation roadmap with A/B and geo tests across channels.
• Partner with Growth Marketing and Finance to optimize unit economics and channel goals.
• Collaborate with data engineering to build scalable pipelines and dashboards.
• Apply AI tools to modernize analytics workflows and improve outputs.

Skills

Python

SQL

MTA

CLV

CAC

A/B testing

Causal inference

Cohort analysis

Growth marketing

Education

BS/MS in quantitative field

Tools

AWS SageMaker

Snowflake

dbt

Looker

Tableau

Airflow

Robyn

LightweightMMM

scikit-learn

TensorFlow

PyTorch

Job description

Metropolis is seeking a Senior Data Scientist, Growth Marketing to join our growing data team. You will partner with Growth Marketing leadership to turn massive real-world datasets into engines for user acquisition, retention, and gross profit expansion.

You will build multi-touch attribution, lifetime value models, and conduct rigorous experiments, translating data insights into actionable business strategies for cross-functional partners in Growth, Product, and Finance.