Data Scientist Semi Senior - Databricks – Causal Inference & Growth Marketing #5

About the role

🚀 What We Do

• Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.

• Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.

• Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.

• Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

• Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.

• Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

• Amazon Web Services

• Astronomer

• Databricks

🌟 Our Values

• 📊 We are Data Nerds

• 🤗 We are Open Team Players

• 🚀 We Take Ownership

• 🌟 We Have a Positive Mindset

🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

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.

Required Skills

• 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).

Nice to Have Skills 😉

• Degree in Economics, Econometrics, Statistics, or related quantitative fields (ideally with a focus on applied microeconomics or causal inference).

• Experience in CPG, retail, consumer goods, or beverage industries.

• Experience with Marketing Mix Modeling (e.g., Meridian, Robyn, PyMC-Marketing) and media attribution.

• Experience with causal libraries (DoWhy, EconML, CausalML) and Bayesian modeling (PyMC, Stan).

• Experience with MLflow and Databricks workflows/jobs.

🎁 Perks

• 🌍 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 – because great work deserves great food.

• 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)

• 🤝 Referral bonuses – help us grow the team & get rewarded!

• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

• 👶 Monthly Childcare Reimbursement  – Because supporting families matters too

Covesight rechecks every listing daily. Last confirmed live: 8 October 2026.