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Staff Data Scientist (Measurement & Experimentation) at RecargaPay. Come Make an Impact on Millions of Brazilians!. At RecargaPay, we’re on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs.. We serve over 10 million users and process more than USD 4 billion annually. We’ve been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.. Our goal? Deliver the best payment experience in Brazil for people and small businesses alike.. We value autonomy, ownership, and a bias for action. We’re looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what’s possible.. If you’re ready to do your best work, at scale, with purpose — this is your place.. About the Role. Do you want to build machine learning models and apply causal inference, experimentation, and advanced analytics to transform how growth marketing decisions are made? At RecargaPay, we are looking for a Marketing Data Scientist (Measurement & Experimentation) to join our Marketing Science team, helping us reshape how we measure and optimize marketing impact.. You’ll be responsible for developing models and frameworks that quantify the incremental value of marketing investments, build marketing mix models (MMM), define incrementality tests, and support leadership with actionable, data-driven recommendations.. Responsibilities. Develop and maintain Marketing Mix Models (MMM) and incrementality frameworks to quantify true marketing ROI and incrementality.. Design, execute and analyze A/B and geo-based experiments, applying causal inference methodologies.. Partner with User Acquisition and CRM teams to identify opportunities to optimize spend allocation and creative effectiveness.. Build automated dashboards and reports for campaign performance, media contribution, and payback.. Collaborate with Martech, data engineering and analytics teams to enhance data pipelines, taxonomies, and tracking.. Present clear, data-driven insights to executives, influencing strategic marketing and budget allocation decisions.. Continuously evaluate new measurement methodologies (MTA, Bayesian MMM, synthetic control).. Requirements. Programming & Tools: Strong proficiency in Python, SQL and statistical libraries (Pandas, Statsmodels, PyMC, Scikit-learn). PySpark, ideally in Databricks, and familiarity with BI tools (Power BI, Tableau, or Looker).. Marketing Measurement: Proven experience building MMMs, running A/B or lift tests, or applying causal inference methods.. Experience with Mobile Measurement Partners (MMPs): Hands-on experience with platforms such as Adjust, Singular, or AppsFlyer, leveraging event data for campaign attribution and performance modeling. . Statistics: Deep understanding of regression modeling, time-series analysis, and experimental design.. Business Acumen: Ability to connect statistical results with marketing ROI and payback implications.. Communication: Translate complex findings into clear narratives for marketing and leadership teams.. Collaboration: Comfortable working cross-functionally with marketing, finance, and product data teams.. Bonus Points. Familiarity with Meta, Google Ads, TikTok marketing APIs.. Previous experience in fintech or high-growth consumer tech companies.. Knowledge of Bayesian inference and media optimization algorithms.. Company Location: Brazil.