[Hiring] Data Scientist @Wave

Role Description

We’re looking for an experienced Data Scientist to join our team. You’ll work on projects across the business, from building credit scoring models and improving fraud detection to optimizing field visit schedules and designing A/B tests for targeted user promotions.

• Partner with product managers and business leaders to understand problems and find practical data solutions.
• Be embedded closely with our product and operations teams.
• Generate insights using customer, merchant, and internal data through statistical modeling, data visualization, and machine learning.
• Design, implement, and analyze optimizations for internal operations, user promotions, and agent networks.
• Build data-driven heuristics and machine-learning models to improve user and business outcomes.
• Take ownership of the analytics process from project scoping and design to communicating findings to stakeholders.

Qualifications

• Minimum Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. A Master's or PhD is a plus.
• 5+ years of experience in data science, machine learning, or technical analytics roles.

Requirements

• Deep expertise with Python, SQL, and data visualization tools.
• Experience in one or more of the following: machine learning, causal inference, statistical modeling, or A/B testing.
• Experience applying these methods in operational settings with offline components is a plus.
• Highly effective written communication and presentation skills.
• A track record of translating complex data into clear, actionable insights for both technical and business stakeholders.
• Fluency in English; French is a plus.

Benefits

• Subsidized health insurance for you and your dependents and retirement contributions (varies by country).
• 6 months of fully paid parental leave and subsidized fertility assistance.
• Flexible vacation, with most employees taking between 30-40 days per year.
• $10,000 annual charitable donation matching.