#3 - Data Scientist Senior - Causal Inference - Databricks

• 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.

• 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).
• 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.

• Amazon Web Services
• Astronomer
• Databricks

• Remote-first culture – work from anywhere! 🌍
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• Birthday off + an extra vacation week (Mutt Week! 🏖️)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.
• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀

At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.

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 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! 🚀