Senior Data Scientist – Causal Inference

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🔥 1 minute ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 21%

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MUTT DATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🛡️ Insurance

📦 Logistics

Marketing • Insurance • Logistics

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• Design, run, and analyze A/B tests and multivariate experiments, including sample size and power calculations, randomization, guardrail metrics, and results interpretation • Apply causal inference techniques to estimate the impact of marketing campaigns, promotions, pricing, and loyalty initiatives when randomization is not possible • Measure and optimize marketing performance, including incrementality, attribution, ROI/ROAS, customer lifetime value, and marketing mix modeling • Translate growth and marketing business questions into well-defined analytical problems and experimental designs • Develop analyses, features, and models on 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, customer segmentation, targeting, and personalization • Work with marketing, growth, and commercial stakeholders to turn analytical results into decisions driving acquisition, retention, and revenue • Communicate findings to non-technical audiences

🎯 Requirements

• 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 is nice to have, not required • Experience in CPG, retail, consumer goods, or beverage industries is nice to have • Experience with Marketing Mix Modeling and media attribution is nice to have • Experience with causal libraries and Bayesian modeling is nice to have • Experience with MLflow and Databricks workflows/jobs is nice to have

🏖️ Benefits

• 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!