Data Scientist (Semi Senior) – Growth & Marketing Analytics

Core Responsibilities

Join our remote-first startup as a Semi Senior Data Scientist with 3+ years of experience in Data Science, Applied Statistics, or Econometrics. You will design and analyze A/B tests and multivariate experiments, leveraging causal inference techniques (Difference-in-Differences, Synthetic Control, Propensity Score Matching, Instrumental Variables, Regression Discontinuity, uplift modeling) to measure the impact of marketing campaigns, promotions, pricing, and loyalty initiatives. Your work will drive customer acquisition, retention, and revenue for a leading beverage company in Mexico.

Key Focus Areas

• Measure and optimize marketing performance using incrementality, attribution, ROI/ROAS, customer lifetime value (CLV), and marketing mix modeling (MMM).
• Translate business questions from growth and marketing teams into analytical problems and experimental designs.
• Develop analyses, features, and models on Databricks (notebooks, Spark, Delta Lake), collaborating with Data Engineers and Analytics Engineers.
• Build predictive and segmentation models (churn, propensity, customer segmentation) for targeting and personalization strategies.

Technical Requirements

• Hands-on experience with Databricks (notebooks, Spark/PySpark, Delta Lake) – required.
• Solid experience designing and analyzing A/B tests and online/offline experiments.
• Strong knowledge of causal inference methods and their practical applications.
• Proficiency in Python (pandas, PySpark, statsmodels, scikit-learn) and advanced SQL.
• Foundations in statistics and econometrics (hypothesis testing, regression, Bayesian/frequentist approaches, time series).

Nice-to-Have Skills

• Degree in Economics, Econometrics, or Statistics 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.

About Us

At Muttdata, we build innovative Data Products and Machine Learning solutions for demand planning, budget forecasting, and generative AI applications. Our partnerships include Amazon Web Services, Astronomer, and Databricks. We value data-driven decision-making, collaboration, and continuous learning.

Our culture is built on data-driven curiosity, open teamwork, ownership, and positivity.

Perks

• Remote-first culture – work from anywhere.
• In-company English lessons.
• Wellhub or sports club stipend.
• Certifications covered for AWS, DBT, Google Cloud, Azure, and Databricks.
• Food credits via Pedidos Ya.
• Birthday off + extra vacation week (Mutt Week).
• Referral bonuses.
• Annual team trip.
• Monthly childcare reimbursement.