About this 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 (https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into ourblog post (https://blog.muttdata.ai/) 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 cultur e – 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 (https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s) – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too