Semi Senior Data Scientist – Databricks, Causal Inference, Growth Marketing

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🔥 5 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 20%

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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 interpretation of results • 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 through 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 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 strategies • Communicate analytical findings to marketing, growth, commercial, and non-technical stakeholders

🎯 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 (ideally with a focus on applied microeconomics or causal inference)

🏖️ Benefits

• Remote-first culture – 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 • Birthday off + an extra vacation week (Mutt Week!) • Referral bonuses • Annual Mutters' Trip • Monthly Childcare Reimbursement