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Senior Data Modeller

  1. Heredia
  2. Analytics
  3. Permanent
  4. Hybrid
  5. Full Time

We are currently looking for Senior Data Modeller to join our growing Costa Rica based Analytics Team, established in 2007, as we are expanding our portfolio to support our North America Business.

As a Senior Data Modeller, you will develop and validate analytical solutions for diverse clients – this includes ad hoc data analysis as well as development of statistical models for predicting and managing the behavior of consumers. You will present results and business analysis to senior stakeholders (both internal and external) and support more junior team members in their daily activities. You will report to Data Modeller-Manager.

 

What you will do:

  • Data extraction and data processing
  • Develop, manage credit risk models, including application, behavioral, and collection scoring models
  • Evaluate the performance of the trained models and presentation of the results to stakeholders
  • Produce ad-hoc analysis on the available datasets or developed models
  • Work on proof-of-concept projects to support client needs
  • Oversee the day to day work of more junior team members
  • Identify opportunities for automation and follow them through internally within the team and towards external stakeholders

About Experian

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.


Experience and Skills

What you are expected to bring:

  • A degree (BSc level) in a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics
  • 3+ years of working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, scikit-learn)
  • Understanding of how and when to apply analytical approaches including regression analysis and machine learning
  • Grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus
  • Good at spotting problems and quickly proposing solutions
  • Experience with BI Tools such as Tableau and Power BI will be considered as an advantage
  • Fluency in English

Additional Information

  • 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.