RecargaPay

Data Scientist

• 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).

Staff Data Scientist – Measurement, Experimentation

Engineer

• Define and guide medium- and long-term architectural strategies aligned with company objectives.
• Lead technology transformations and modernization of critical systems, ensuring efficiency, scalability and reliability.
• Serve as the technical authority for Engineering and Architecture Chapters, advocating best practices and quality standards.
• Mentor senior engineers and technical leads, fostering a culture of technical excellence and continuous learning.
• Promote adoption of AI-assisted engineering practices within your team and chapter, leveraging tools for code generation, automated refactoring, test case creation and technical documentation. Identify opportunities where AI can improve developer productivity, code quality and team velocity.
• Encode architecture into practice, delivering reference implementations and golden-path templates that teams can scale in minutes.

Principal DevEx Engineer

Analyst

• - Work in the Credit Policy and Strategy area.
• - Propose improvements, changes, and continuous testing to enhance the Credit Policy.
• - Analyze and monitor ongoing tests, generating the necessary insights to support decision-making.
• - Continuously iterate on credit rules and product strategies to achieve the vertical’s goals and targets.
• - Maintain and monitor credit indicators and reports (origination, maintenance).
• - Collaborate with other teams to improve credit assessment processes and onboarding flows, reducing friction and increasing conversion.
• - Build a close partnership with the Product team to analyze, understand, and propose strategies and adjustments to optimize the product.
• - Track and monitor the performance of models developed by the Data Science team.

Senior Credit Analyst

Analytics Engineer

• Architect and implement scalable, high-performance analytical solutions by integrating SAP data with Databricks Lakehouse.
• Lead the architecture and development of enterprise-grade Data Products, bridging SAP's business semantic layer and Databricks Lakehouse.
• Design and implement robust data pipelines to extract and replicate data from SAP Datasphere into Databricks, using CDC and data synchronization best practices.
• Transform and model complex SAP source data (Finance, Sales) within Databricks to build governed, performant, business-oriented data marts using PySpark and SQL.
• Design and oversee development of dashboards and analytical layers in Tableau or QlikSense powered by curated Databricks data.
• Act as data advisor for departments to define KPIs, conduct advanced analyses, and build data-driven decision frameworks.
• Ensure standardization, governance, and version control of analytical solutions using dbt and Git, integrating with existing pipelines.
• Champion analytical automation and data democratization, promoting self-service tools and internal training on SAP and Databricks stack.
• Collaborate with Data Engineering, Product, and Technology teams to connect data to digital products, processes, and business strategies.
• Mentor other analytics professionals and represent Analytics Engineering in governance, data quality, and architecture committees.

Specialist Analytics Engineer, Finance

Customer Support

Come make an impact on millions of Brazilians! Want to make a real difference in the lives of millions? At RecargaPay, we build accessible and innovative financial solutions that transform the way people interact with money. Join us on this journey of impact and innovation, connecting people with opportunities that truly improve their everyday lives.
Our purpose is to deliver the best mobile payment experience for Brazilians, solving real problems with smart solutions like Pix Parcelado, always staying ahead of trends and focused on our customers’ needs. Here, we value collaboration, ownership, and a relentless drive for results—delivering excellence in every interaction.
If you're looking to be part of a dynamic environment that challenges the status quo and puts people at the heart of every decision, RecargaPay is the perfect place for you to grow, co-create, and make a meaningful impact! The CX Journey Analyst is the living bridge between customer experience and the product lifecycle within a squad. Their role is to identify gaps, translate feedback into actionable decisions, and ensure that every evolution of the journey is designed with the customer at the center, creating real impact for the business.
This professional combines critical analysis, structured listening, logical reasoning, and consultative influence. They don’t just point out problems — they actively contribute to building and validating solutions alongside the squad.
Main responsibilities:
Analyze feedback, VoC data, and journey indicators to identify customers’ real pain points.
Deliver structured analyses to squads, with clear hypotheses and improvement suggestions.
Actively participate in squad rituals (plannings, weeklies, reviews) as the voice of customer experience.
Map disruptions in critical flows and propose feasible solutions based on impact and effort.
Collaborate with teams such as Help Design, Customer Support, Product, and Engineering to unfold improvements.
Measure the impact of changes using Problem Rate, Effort, CSAT, NPS, and First Contact Resolution.
Support backlog prioritization with data-driven insights and challenges aligned with the squad’s context.

Staff Data Scientist – Measurement, Experimentation

Principal DevEx Engineer

Senior Credit Analyst

Specialist Analytics Engineer, Finance

Customer Experience Analyst III