Modeling Analyst II (Data Scientist)

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 company that leverages machine learning and data science to drive our growth. As a Modeling Analyst II (Data Scientist), you will be part of our Data Science team, responsible for developing and implementing data-driven solutions to drive business growth. You will work closely with cross-functional teams to design, develop, and deploy data models that drive business insights and inform strategic decisions. Your work will have a direct impact on the lives of millions of Brazilians, as you help us to better understand their needs and preferences, and to develop innovative solutions that meet those needs. If you are passionate about using data to drive business outcomes, and you want to make a real difference in the lives of millions of people, then we want to hear from you! We are looking for a highly skilled and motivated Modeling Analyst II (Data Scientist) to join our team. As a Modeling Analyst II (Data Scientist), you will be responsible for the following: • Developing and implementing data-driven solutions to drive business growth; • Designing, developing, and deploying data models that drive business insights and inform strategic decisions; • Collaborating with cross-functional teams to develop and implement data-driven solutions; • Analyzing and interpreting complex data sets to drive business insights and inform strategic decisions; • Developing and maintaining data visualizations and reports to communicate insights to stakeholders; • Staying up-to-date with the latest trends and advancements in data science and machine learning. Requirements: • Bachelor’s degree in Data Science, Computer Science, or a related field; • 3+ years of experience in data science or a related field; • Strong programming skills in languages such as Python, R, or SQL; • Experience with data visualization tools such as Tableau, Power BI, or D3.js; • Strong analytical and problem-solving skills; • Ability to work in a fast-paced environment and prioritize multiple projects and tasks; • Excellent communication and collaboration skills; • Experience with cloud-based data platforms such as AWS, Google Cloud, or Azure; • Experience with big data technologies such as Hadoop, Spark, or NoSQL databases. Benefits: • Competitive salary and benefits package; • Opportunity to work on high-impact projects that drive business growth; • Collaborative and dynamic work environment; • Professional development opportunities; • Flexible working hours and remote work options; • Access to cutting-edge technologies and tools; • Recognition and rewards for outstanding performance.