Refine ambiguous questions and generate new hypotheses and design ML based solutions that benefit product through a deep understanding of the data, our customers, and our business
Deliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide.
Use statistical techniques to measure success, develop northstar metrics and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations and marketing
Design experiments and interpret the results to draw detailed and impactful conclusions.
Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.
Present findings to senior leadership to drive business decisions
What You Will Need
- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
- 6+ years experience as a Data Scientist, Machine learning engineer, or other types of data science-focused functions
- Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics
- Hands-on experience building and deployment ML models
- Ability to use a language like Python or R to work efficiently at scale with large data sets
- Significant experience in setting up and evaluation of complex experiments
- Experience with exploratory data analysis, statistical analysis and testing, and model development
- Knowledge in modern machine learning techniques applicable to marketplace, platforms
- Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop