Data Scientist, Wave
Growth Team
$114-134.4k
+ Equity
More information about location
Financial services for underbanked communities
Job no longer available
Financial services for underbanked communities
1001+ employees
Job no longer available
$114-134.4k
+ Equity
More information about location
1001+ employees
Company mission
To make Africa the first cashless continent.
Role
Who you are
- Minimum Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Quantitative Social Science, Applied Psychology, or a related discipline. A Master's or PhD is a plus
- 5+ years experience in applied data analytics or similar experience
- Demonstrated experience running product A/B tests, field experiments, and marketing experiments and conducting causal inference analyses
- Experience collaborating with and supporting cross-functional teams on data analysis and execution of experiments
- Deep knowledge of statistics and econometrics
- Expertise in experimental design including sampling, randomisation, stratification, and clustered designs
- Knowledge of non-experimental causal inference methodologies, such as propensity score matching, difference-in-differences analysis, and instrumental variable analysis
- Strong SQL skills with expertise in querying, manipulating and analyzing data
- Strong Python skills with expertise in data cleaning, manipulation, and statistical analysis (strong R skills are also acceptable and a willingness to quickly adapt to Python)
- Proficiency applying machine learning methods for optimization and analysis of experimental data
- Familiarity with data visualization libraries
- Are proficient in SQL and Python/R
- Have a deep understanding of experimental methods and causal analysis
- Are a self-starter that excels at exploring problems and collaborating closely with operations teams to drive growth through data
- Like to ask questions of data and just have to find out the answers
What the job involves
- We’re looking for an expert in statistical analysis focused on Experimentation and Causal Inference to join the Growth team at Wave
- In this role, you will design, run, and analyze experiments in collaboration with product and operations teams to improve the product and customer experience
- The aim is to apply rigorous statistical methods of causal inference and machine learning to grow our user base and optimize product features
- Be embedded closely with our operations and product teams
- Generate insights using customer, merchant and agent data, which will include running power analyses, statistical modeling, and data visualization
- Design, implement and analyze experiments to evaluate the causal impact of new product features, promos, and operational process changes
- Design causal inference analysis plans using longitudinal data
- Explore large data sets to identify growth drivers and generate testable hypotheses
- Build and apply machine learning models to improve product features and to analyze heterogeneous treatment effects (e.g. using random forests and related methods)
- Take ownership of the analytics process - from project scoping and design through communicating findings to stakeholders
Application process
- Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role
- We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals
Our take
Because of things like high fees and a lack of local branches, about half of the adults in Africa still do not have a bank account. Although this is an improvement on past estimates, the continent is still significantly underbanked - which is what Wave helps to combat.
Wave addresses this banking gap with technology, offering a straightforward and cost-effective tool accessible via mobile. The impact has been substantial. A 2021 GSMA report suggested over 500 million mobile money accounts were registered in Africa, facilitating transactions valued at nearly $500 billion.
Wave has already established its presence in Senegal, Côte d'Ivoire, Uganda, Burkina Faso, Gambia and Mali, using steady investment to expand its footprint and reach unicorn status. It also continues to enhance product development and engineering efforts, as well as shore up business operations. Despite challenger companies emerging, Wave has a considerable head start on the competition.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (2 rounds)
Mar 2022
$10m
LATE VC
Sep 2021
$200m
SERIES A
Total funding: $210m
Company benefits
- Subsidised health insurance for you and your dependents (vary from country to country)
- 6 months fully paid parental leave and subsidized fertility assistance
- Flexible vacation, with most folks taking between 30-40 days per year
- $10,000 annual charitable donation matching
- Retirement contributions (vary from country to country)
- Yearly travel to one of our African operating countries
Company HQ
Mermoz Sacre-coeur, Dakar, Dakar Region
Leadership
Drew Durbin
(Co-Founder & CEO)Previously co-founder and CEO at Sendwave (International Remittance).
Lincoln Quirk
(Co-Founder)Previously co-founder and CTO at Newsbrane, Engineer at Demiurge Studios and co-founder of Sendwave (International Remittance).
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