DiDi Labs is hiring a

Senior Data Scientist

Company Name: Didi USA Inc.

Job Location: Mountain View, CA

Job title:  Senior Data Scientist

Education: Master’s degree in Statistics, Computer Science, Business Administration (MBA), or a related field

Duration:  Regular Hire 

Work week:  Full-time

Supervision Experience Required: No

Experience: 4 years of experience in IT/Data/Statistics Consulting, Analysis, or related field. Requires 1 year out of the 4 years stated herein to involve skills and experience within cyber security or the public safety industry. Additionally, requires any amount of on the job experience out of the 4 years stated herein to include: Conducting Maturity, Gap and ROI analysis; KPI design or management; Business Process Redesign and/or Optimization; Data Analysis (including both Data Visualization & Reporting), Analytical Framework, and Platform Design and Implementation; Tableau; Excel; Python; SQL; Financial Modelling; Regression analysis; Project management; and Consulting.

International travel required 3-6 times per year to China and Latin American offices.

Job duties: The Senior Data Scientist position will be responsible for a range of engineering, business and data analysis duties within the company.  Collaborate with teams in the US and China to provide technical and thought leadership designing, testing and implementing methodologies to forecast and monitor thousands of user engagement metric. Develop/apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. Design and build machine learning models and heuristics to aggregate, classify, filter and prioritize alerts. Conduct ad-hoc analysis to understand unexpected metric movements and communicate results to other data scientists, product managers and company leadership. Develop short, medium and long-term forecasts to understand the likely growth trajectory of products and influence tactics and strategy. Collaborate with engineering teams working to improve data infrastructure and internal analytics tooling. Create business cases that look at the team's operating landscape and help build a business plan. Conduct ROI and financial analysis and drive the benchmark against competitors, identifying both quantitative and qualitative pros and cons. Create baseline metrics on usage and costs and analyze adoption of products in Latin American countries and provide forecast of upcoming trends. Identify and build financial business cases and craft compelling stories with data and information and drive informed actions. Effectively work with Product Managers, Product Owners, and Engineers to align business strategy and program execution. Manage & influence large cross-functional teams through data analysis and data driven operation. International travel required 3-6 times per year to China and Latin American offices. Please Apply online at https://boards.greenhouse.io/didi.


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