Data Scientist

September 3

🏡 Remote – Anywhere in California

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Logo of Wave Mobile Money

Wave Mobile Money

Wave is building a cashless Africa in Senegal, Cote d'Ivoire, Uganda, Burkina Faso, Gambia & Mali. Find us @www.wave.com

501 - 1000

Description

• We’re looking for an experienced Data Scientist with experience in ad hoc data analysis, optimization, and machine learning to join our team. • 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! • 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.

Requirements

• 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.

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 30-40 days per year. • $10,000 annual charitable donation matching.

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