TL;DR

Lead Data Scientist: Developing and validating analytical solutions including credit risk models and statistical models for consumer behavior prediction with an accent on data extraction, model evaluation, and automation. Focus on designing and managing credit risk models, presenting results to stakeholders, and leading junior team members.

Location: Hybrid role based in Heredia, Costa Rica with no relocation available

Company

Global data services company specializing in data gathering, analysis, and fraud prevention with a strong focus on innovation and inclusive culture.

What you will do

Extract and process data for analytical purposes
Develop and manage credit risk models including application, behavioral, and collection scoring models
Evaluate model performance and present results to stakeholders
Produce ad-hoc analyses and support proof-of-concept projects
Oversee daily work of junior team members
Identify and implement automation opportunities within the team and with external stakeholders

Requirements

Location: Must be based in or near Heredia, Costa Rica
BSc degree in numerical discipline such as Computer Science, Mathematics, Statistics, Econometrics, or Physics
3+ years experience with Python and analytical packages (Pandas, Numpy, scikit-learn)
Understanding of regression analysis, machine learning, probability, statistical inference, optimization algorithms, linear algebra, and calculus
Fluency in English

Nice to have

Experience with BI tools such as Tableau and Power BI

Culture & Benefits

Medical, life, and dental insurance
Flexible work including work from home options
Paid time off and annual performance bonus
Education reimbursement and family bonding leave
Inclusive and award-winning culture focused on diversity, equity, and inclusion