Wave Mobile Money is hiring a
Data Scientist

Summary

Join Wave's Growth team as a Statistical Analysis Expert to design, run, and analyze experiments in collaboration with product and operations teams to improve the product and customer experience.

Requirements

• 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

Responsibilities

• 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

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