Must-haves:
• Proven experience in a similar data science role and a degree in Economics, Statistics, Computer Science, Finance, Mathematics, Operations Research or similar quantitative subject area.
• You have worked in an analytics role 4-5 years of experience with a business or monetization focus (financial planning, forecasting, quantitative analysis, business intelligence, dynamic pricing and inventory management)
• Technical competence to perform advanced analytics: coding skills with Python, experience with analytics & visualization tools (Pandas, R, SPSS, SQL, Hadoop, Tableau), and experience performing analysis with large datasets.
• Statistical competence (such as regression modeling, a/b testing, significance testing etc) as well as skills in forecasting and time series.
• Enjoy understanding and tackling loosely defined problems and come up with relevant answers and impactful insights to guide product development decisions.
• Nice to have: window functions