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#3 - Data Scientist Senior - Causal Inference

7 hours, 39 minutes ago
Mexico
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Spark AWS Azure Databricks dbt Deep Learning GCP Generative AI Machine Learning MLflow Pandas Python Scikit-learn SQL Statistics
Apply Now
MUTT DATA

MUTT DATA

MUTT DATA specializes in creating and implementing custom machine learning and AI solutions that enhance business performance through automated systems and cost-efficient data architectures.

Internet Software & Services
51-200
Founded 2017
View All Jobs 3

Description

  • Design, run, and analyze A/B tests and multivariate experiments, including power calculations, randomization, and guardrail metrics.
  • Apply causal inference methods to measure the impact of campaigns, promotions, pricing, and loyalty initiatives when randomized experiments are not possible.
  • Measure and optimize marketing incrementality, attribution, ROI/ROAS, customer lifetime value, and marketing mix performance.
  • Translate growth and marketing questions into well-defined analytical problems and experimental designs.
  • Develop analyses, features, and models in 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, targeting, and personalization.
  • Communicate findings and recommendations to marketing, growth, and commercial stakeholders.

Requirements

  • 3+ years of experience in data science, applied statistics, econometrics, or a similar analytical role.
  • Hands-on experience with Databricks, including notebooks, Spark/PySpark, and Delta Lake.
  • Experience designing and analyzing A/B tests and online or offline experiments.
  • Strong knowledge of causal inference methods, including Difference-in-Differences, Synthetic Control, matching, instrumental variables, regression discontinuity, and uplift modeling.
  • Strong foundation in statistics and econometrics, including hypothesis testing, regression, Bayesian and frequentist methods, and time series.
  • Proficiency in Python, including pandas, PySpark, statsmodels, and scikit-learn, plus advanced SQL.
  • Experience applying data science to growth, marketing, or commercial use cases such as campaign measurement, pricing, promotions, and customer analytics.
  • Degree in Economics, Econometrics, Statistics, or a related quantitative field, ideally focused on applied microeconomics or causal inference (preferred).
  • Experience in CPG, retail, consumer goods, or beverage industries (preferred).
  • Experience with marketing mix modeling, media attribution, causal libraries, Bayesian modeling, MLflow, or Databricks workflows/jobs (preferred).

Benefits

  • Remote-first work environment.
  • AWS, dbt, Google Cloud, Azure, and Databricks certification costs fully covered.
  • Birthday off and an additional vacation week.
  • Referral bonuses.
  • Monthly Maslow benefits marketplace credits.
  • Annual company team trip.

Interested in this position?

Apply directly on the company website

Apply Now

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