Semi Senior Data Scientist – Databricks, Causal Inference, Growth Marketing

• Design, run, and analyze A/B tests and multivariate experiments, including sample size and power calculations, randomization, guardrail metrics, and interpretation of results
• Apply causal inference techniques to estimate the impact of marketing campaigns, promotions, pricing, and loyalty initiatives when randomization is not possible
• Measure and optimize marketing performance through 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 using notebooks, Spark, and Delta Lake
• Collaborate with Data Engineers and Analytics Engineers on data pipelines and analytical datasets
• Build predictive and segmentation models for churn, propensity, customer segmentation, targeting, and personalization strategies
• Communicate analytical findings to marketing, growth, commercial, and non-technical stakeholders

• 3+ years of experience 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)
• Degree in Economics, Econometrics, Statistics, or related quantitative fields (ideally with a focus on applied microeconomics or causal inference)

• Remote-first culture – work from anywhere
• In-Company English Lessons
• Wellhub or sports club stipend to stay active
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• Food credits via Pedidos Ya
• Birthday off + an extra vacation week (Mutt Week!)
• Referral bonuses
• Annual Mutters' Trip
• Monthly Childcare Reimbursement