Remote opportunity at
Wave Mobile MoneyData Scientist
Wave Mobile Money seeks a remote Data Scientist to help realize its mission of building a cashless financial network across Africa. The company provides mobile financial…
Career Tools
About This Role
Wave Mobile Money seeks a remote Data Scientist to help realize its mission of building a cashless financial network across Africa. The company provides mobile financial services designed to eliminate account fees and serve millions of users across multiple operating countries. In this fully remote position, the incumbent will partner closely with operational and product teams to tackle challenges ranging from fraud detection and credit scoring models to targeted user…
Job Description
Wave Mobile Money seeks a remote Data Scientist to help realize its mission of building a cashless financial network across Africa. The company provides mobile financial services designed to eliminate account fees and serve millions of users across multiple operating countries. In this fully remote position, the incumbent will partner closely with operational and product teams to tackle challenges ranging from fraud detection and credit scoring models to targeted user promotions and agent network optimization.
This role suits analytical professionals who enjoy driving product decisions, possess a bias for action, and can translate complex data into practical insights. Responsibilities include owning the complete analytics lifecycle from project design to communication with stakeholders, building machine learning models, and designing optimization strategies. Candidates must reside in the United States, the United Kingdom, Spain, Kenya, Ghana, Senegal, Côte d'Ivoire, or Burkina Faso. Team members receive an annual coworking stipend and are required to travel to operational African markets at least once a year.
Wave offers a salary range between $130,600 and $236,200 USD annually, paired with an equity package and major benefits including subsidized health insurance, retirement contributions, six months of fully paid parental leave, flexible vacation, and annual charitable donation matching.
Responsibilities
- Collaborate directly with product and operations departments
- Produce insights through machine learning, data visualization, and statistical modeling using internal, customer, and merchant data
- Design, execute, and evaluate optimizations for internal operations, agent networks, and user promotions
- Develop machine-learning algorithms and data-driven heuristics to enhance user and business outcomes
- Manage analytics projects from initial scoping to sharing results with stakeholders
Requirements
- Minimum of 5 years of professional experience in machine learning, data science, or technical analytics
- Advanced expertise in Python, SQL, and data visualization software
- Demonstrated background in causal inference, machine learning, A/B testing, or statistical modeling
- Strong presentation and written communication abilities
- Proficiency in English
Qualifications
- Bachelor degree in a quantitative discipline like Statistics, Mathematics, Economics, Engineering, or Computer Science
- Master degree or PhD in a quantitative field
- Practical background applying analytical methods to operational settings featuring offline components
- Fluency in French
Core Skills
Benefits
- Annual salary between $130,600 and $236,200 USD
- Generous equity package
- Subsidized health insurance for employees and dependents
- Retirement contributions
- Six months of fully paid parental leave
- Subsidized fertility assistance
- Flexible vacation with most employees taking 30 to 40 days annually
- Annual charitable donation matching of $10,000
- Yearly $1,200 coworking meetup stipend
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position fully remote?
Yes, this is a fully remote role, though candidates must reside in the United States, the United Kingdom, Spain, Kenya, Ghana, Senegal, Côte d'Ivoire, or Burkina Faso. Remote team members are also expected to travel to operational markets in Africa at least once a year.
What is the salary range for the Data Scientist role?
Depending on your location and level of experience, the salary ranges from $130,600 to $236,200 USD per year, supplemented by an equity package.
What education is required for applicants?
Applicants must hold at least a Bachelor degree in a quantitative field such as Economics, Mathematics, Statistics, Computer Science, Engineering, or a related discipline, while a Master degree or PhD is considered a plus.
How can I apply for this position?
You can apply by filling out the online application form and uploading a resume in English along with a cover letter explaining your interest in the role and in Wave.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.