Senior Data Scientist: Growth & Causal Analytics (Remote)

Muttdata; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first culture

English lessons

Wellhub or sports stipend

Cloud certifications covered

Food credits

Birthday off

Referral bonuses

Mutters' Trip

Childcare reimbursement

Job summary

Muttdata, a remote-first data startup, seeks a Senior Data Scientist to drive experiments, causal impact estimation, and growth analytics for a beverage sector client. You will design A/B tests, apply DiD, Synthetic Control, and uplift methods, and translate insights into actionable decisions across campaigns and pricing.

Collaborate with marketing, growth, and engineering teams to build models, leverage Databricks and Spark, and deliver scalable analytics for demand forecasting, churn, and

Qualifications

• 3+ years in Data Science, Applied Statistics, Econometrics, or similar analytical roles.
• Hands-on experience with Databricks (notebooks, Spark/PySpark, Delta Lake) – required.
• Solid, hands-on experience designing and analyzing A/B tests and online/offline experiments.
• Strong knowledge of causal inference methods and their assumptions, limitations, and practical application (DiD, Synthetic Control, Matching, IV, uplift, etc.).
• Strong foundations in statistics and econometrics (hypothesis testing, regression, Bayesian and frequentist approaches, time series).
• Proficiency in Python (pandas, PySpark, statsmodels, scikit-learn) and advanced SQL.
• Experience applying data science to growth, marketing, or commercial problems (campaign measurement, pricing, promotions, customer analytics).

Responsibilities

• Design, run, and analyze A/B tests and multivariate experiments (sample size and power calculations, randomization, guardrail metrics, interpretation of results).
• Apply causal inference techniques (Difference-in-Differences, Synthetic Control, Propensity Score Matching, Instrumental Variables, Regression Discontinuity, uplift modeling) to estimate the impact of marketing campaigns, promotions, pricing, and loyalty initiatives when randomization is not possible.
• Measure and optimize marketing performance: incrementality, attribution, ROI/ROAS, customer lifetime value (CLV), and marketing mix modeling (MMM).
• Translate business questions from growth and marketing teams into well-defined analytical problems and experimental designs.
• Develop analyses, features, and models on Databricks (notebooks, Spark, Delta Lake), collaborating with Data Engineers and Analytics Engineers on data pipelines and analytical datasets.
• Build predictive and segmentation models (churn, propensity, customer segmentation) that support targeting and personalization strategies.

Skills

A/B Testing

Causal Inference

Databricks

Python (pandas)

SQL

Experiment Design

Marketing Analytics

Churn Modeling

Econometrics

Economics/Statistics degree

Education

Degree in Economics, Statistics, or related field

Tools

Spark

Delta Lake

DoWhy

EconML

Job description

Muttdata, a remote-first data startup, seeks a Senior Data Scientist to drive experiments, causal impact estimation, and growth analytics for a beverage sector client. You will design A/B tests, apply DiD, Synthetic Control, and uplift methods, and translate insights into actionable decisions across campaigns and pricing.

Collaborate with marketing, growth, and engineering teams to build models, leverage Databricks and Spark, and deliver scalable analytics for demand forecasting, churn, and