We’re looking for someone who is product-minded, hands-on, and pragmatic: a data scientist who sees beyond models and algorithms and thinks deeply about how data connects to intuitive user behavior and real-world impact.
In this role you’ll:
- Be part of a multidisciplinary team, working with engineers, data analysts, economists and a product manager.
- Focus on advanced analytics and machine learning problems, delivering them end-to-end independently.
- Prioritise work and shape your own approach in a way that maximises the positive impact on both users and the business.
- Engage not just with business metrics, but also collaborate closely with Operations teams to understand the real-world outcomes and impact of your work.
Key Details
- You can work remotely from anywhere (between UTC -5 and +2) with reliable Internet access.
- Wave covers travel once per year to one of our operating countries in Africa, as well as a yearly stipend of $1,200 to meet with coworkers.
- Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of up to $149,200 USD (paid in your local currency equivalent), plus a generous equity package.
- Major benefits:
- Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country).
- 6 months of fully paid parental leave and subsidized fertility assistance.
- Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays.
- $10,000 annual charitable donation matching.
Requirements
- Education and Experience
- 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.
- 4+ years experience in applied data science or similar experience.
- Demonstrated experience with data analysis, machine learning and product A/B tests.
- Experience in using advanced analytics for optimising targeting, rewards or incentive programs is a big plus.
- Technical skills
- Proficiency in applying machine learning methods to solve business problems.
- Very strong Python skills with expertise in data manipulation, analysis and machine learning. Must be comfortable writing code that runs in production.
- Competent in SQL.
- Solid foundation in probability and statistics.
You might be a good fit if you
- Thrive on spotting key problems and finding the fastest, most effective solutions.
- Enjoy and excel at working on machine learning and statistics problems.
- Quickly build and validate proof-of-concept solutions, refining based on real-world feedback.
- Prefer pragmatic approaches but apply complex methods when the impact is worth it.
- Work iteratively, knowing when a project is “good enough” to avoid over-polishing.
- Communicate insights clearly to all audiences and make confident, data-driven recommendations.
Our team
- We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, and Uganda, plus remote team members spread across the world.
- We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most.
- We foster autonomy for our employees. You'll own your projects at every stage, from understanding the problem to monitoring your solution in production.
- We raised the largest Series A in Africa in 2021. Our world-class investors, include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa.
- We are on Y Combinator's top companies by revenue.
Salary
Competitive
Monthly based
Location
, East Gonja Municipal District, Savannah Region, Ghana, Savannah Region, Ghana
Job Overview
Location
, East Gonja Municipal District, Savannah Region, Ghana, Savannah Region, Ghana
