Product Data Scientist

Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases. With over 125 years of experience, we specialize in data gathering, analysis, and fraud prevention. Our 21,700 employees across 30 countries are dedicated to innovation and creating opportunities for a better tomorrow. Recently ranked the fifth-best company to work for in Costa Rica, we prioritize inclusive culture, employee well-being, and career development. Join us at www.experian.com/careers to be part of our team. You will report into the Insider Risk Director. You will repot into Analytics Consulting Consultant Lead. You wil report into the Systems Security Supervisor.

We are looking for a Analytics Analyst who wants to help grow the Experian Consumer Services (ECS) Marketplace business. As an Analytics Analyst, you will be working directly with lender partners to manage the assembly, deployment, validation, and optimization of their custom risk and targeting models within the ECS platform. You will be a critical bridge between our lenders partners and the product team, ensuring partners are supported and main product feedback is provided back to the business teams.

Skills and Experience

• Experience of Python and SQL. Proficiency with R or similar industry standard tools used for large-scale data analysis and modeling.
• Flexible thinker, comfortable working with both internal and external teams

Main Responsibilities

• Work with both internal and external data science teams to integrate and build models on the platform, and increase additional criteria/business logic.
• Build strong relationships with individuals at partner financial institutions that hold varying positions in different departments.
• Understand the capabilities of the Experian Marketplace and client platform to help with partners on best practices and capabilities.
• Work with product leaders to support partner onboarding and provide feedback to improve partner support models, product enhancements, and model requirements.
• Optimize and guide the partner model building, validation, and deployment process to achieve success across your team.

• Bachelor's degree in Statistics, Math, Engineering or a related quantitative discipline from an accredited college or university. Advanced Degree as an ideal.
• 2+ years of experience in statistical analysis and modeling especially with consumer credit underwriting, customer segmentation, and customer valuations.
• Experience managing relationships, partnering with credit bureaus, media technologies, or other third-party data providers/sources.
• Experience working at financial institutions offering Credit Card, Personal Loan, Auto Loan, and Mortgage credit products strongly preferred.

• Benefits/Perks:

Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.

• This is a fully remote job opportunity. #LI-Remote
• Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.