Staff Data Scientist (Marketing)

RecargaPay; Brasil; On-site; BRL 167,400 - 279,000; Full time

Benefits offered by this job

Competitive salary

Remote work allowance

Health and dental plans no co-pay

Life insurance

Flexible meal allowance

Health membership

Language classes

Job summary

A leading financial technology firm in Brazil is seeking a Staff Data Scientist to join their Marketing Science team. This role involves building machine learning models and applying advanced analytics to optimize marketing effectiveness. Ideal candidates should have expertise in Python, SQL, and marketing measurement techniques. The company offers competitive compensation and fully remote work options.

Qualifications

• Strong proficiency in programming and statistical analysis.
• Experience in marketing mix modeling and causal inference methods.
• Deep understanding of regression modeling and experimental design.

Responsibilities

• Develop and maintain Marketing Mix Models to quantify marketing ROI.
• Design and analyze A/B and geo-based experiments.
• Partner with teams to optimize spending allocation.

Skills

Python

SQL

Pandas

Statsmodels

PyMC

Scikit-learn

A/B testing

Causal inference

Data analysis

Tools

Databricks

Power BI

Tableau

Looker

Adjust

Singular

AppsFlyer

Job description

Staff Data Scientist (Measurement & Experimentation)

6 days ago Be among the first 25 applicants

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.

Benefits

• Competitive and market‑aligned salary.
• Remote work — wherever you are, you're part of the team!
• Home office allowance through a monthly deposit in the RecargaPay app.
• Health and dental plans with no co‑pay.
• Life insurance.
• Flexible meal allowance (via Flash).
• TotalPass membership to take care of your health.
• Spanish or Portuguese classes.

Diversity & Inclusion at RecargaPay

At RecargaPay, you'll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.

About The Use Of Your Data

By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities within the RecargaPay group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law).

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Other

Industries

IT Services and IT Consulting

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