Data Scientist, Wave
Machine Learning
$114.2-134.4k
+ 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
$114.2-134.4k
+ Equity.
More information about location
1001+ employees
Company mission
To make Africa the first cashless continent.
Role
Who you are
- We’re looking for an experienced Data Scientist with experience in ad hoc data analysis, optimization, and machine learning to join our team
- We are looking for a data scientist who is product-minded, scrappy and thinks about data in terms of intuitive user behaviours rather than just inputs to a black box model
- 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 product A/B tests, optimization, and exploratory data analysis
- Experience collaborating with and supporting cross-functional teams on data analysis and execution of experiments
- Strong knowledge of probability and statistics
- 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 in applying machine learning methods to solve business problems
- Familiarity with data visualization libraries
- Fluency in English. French is a plus
- Are a self-starter who excels at exploring problems and collaborating closely with product and operations teams
- Like to ask questions of data and just have to find out the answers
- Prefer solving data problems using exploratory data analysis and statistics over applying black-box models
- Have excellent focus, prioritizing your research and work using an iterative approach (you know when a project is good enough to stop, and you rarely get lost in details)
- Are able to compellingly present your findings to technical and non-technical audiences and make proactive recommendations based on data
What the job involves
- You will work on a wide range of data analysis projects across teams, such as supporting call volume forecasting, optimizing operation field visit schedules to maximize impact, targeted promos for users, improving our fraud models, and more!
- This role is unique in a way that you will collaborate with a wide range of product managers and business leaders to understand their problems and use data science to optimize their operations
- Be embedded closely with our product and operations teams
- Generate insights using customer, merchant and internal data using statistical modelling, data visualization, and machine learning
- Design, implement and analyze optimizations for our internal operations, user promos, and agent network to help teams scale and reduce costs
- 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
Application process
- 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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