Data Scientist II - Remote

Description

Job Summary: We are seeking a Data Scientist II to join the Data Intelligence team, responsible for data analysis and structuring, as well as developing new features, with an emphasis on innovation and solutions. Key Highlights: 1. Opportunity in Analytics within the Data Intelligence team 2. Focus on innovation and proposing new solutions 3. Inclusive and purpose-driven culture **Data Scientist II \- Remote** ================================= Full\-time Employee Status: Regular Role Type: Remote Department: Analytics Schedule: Full Time **Company Description** ----------------------- Experian is a global data and technology company that drives opportunities for people and businesses worldwide. We operate across multiple industries, including financial services, healthcare, automotive, agribusiness, insurance, and more. Experian invests in people and advanced technologies to unlock the power of data. We have an exceptional team of 25\.200 employees across 32 countries. Our uniqueness lies in valuing yours. Experian’s people-centric, inclusive, and purpose-driven culture has earned numerous accolades — including World’s Best Workplaces™ 2025 (Top 25 globally by Fortune) and Great Place To Work™ in 26 countries, among others. Follow Experian Life on social media or explore our careers site to learn why. Experian is also proud to be an equal opportunity employer committed to affirmative action. **Job Description** ------------------- **Job Description** We have an opportunity in Analytics within the Data Intelligence team, an area responsible for data analysis and structuring, as well as developing new features. If you enjoy learning and are always eager to acquire new knowledge, this could be the right place for you. We work with diverse types of information and continuously seek new data sources. As this is a development-focused area, it is essential that you can innovate and propose new solutions. Knowledge in credit, collections, or insurance domains is a significant advantage. Key day-to-day responsibilities include: * Researching new data sources; * Structuring databases; * Building variables based on Feature Learning; * Evaluating feature performance and fit within scoring models; * Creating new solutions for all market segments using statistical techniques; We seek a professional skilled in data manipulation, statistical modeling, and Big Data. A completed undergraduate degree in quantitative fields is required, along with programming proficiency in Python. Personal attributes should include analytical thinking, adaptability, proactivity, initiative, and enthusiasm for new challenges. **Qualifications** ------------------ **Qualifications** * Python * PySpark * Data Manipulation * Feature Learning * Machine Learning * SQL **Additional Information** -------------------------- Serasa Experian is much more than you imagine. With a mission to create a better future by expanding opportunities for people and businesses, we are over 4,000 people in Brazil, working across diverse teams and specialties. Here, every skill and form of diversity complements one another, enabling you to work in what you love most. We are committed to building an inclusive culture and an environment where people can balance their careers with personal commitments and interests, prioritizing well-being. We are deeply dedicated to being one of the best and most innovative companies to work for in the country, offering incredible experiences and careers for our people. Our strong “people-first” approach is externally recognized through multiple industry certifications: awarded Great Place To Work™ in 24 countries and certified internationally as a Top Employer, recognized as one of the best employers for young professionals, and rated 4.6 on Glassdoor. Each recognition confirms we’re on the right path — delivering an ever-better workplace for our talent. Experian Careers \- Creating a better tomorrow together By clicking the link above or any third\-party link within this posting, you are leaving this site and going to a third\-party website where the third\-party website's terms and privacy policy apply**Job Location** ---------------- I'm interested Privacy Notice Cookies Settings