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Data Scientist, Product Analytics Responsibilities:

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches

Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses

Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends

Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations

Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent

4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)

4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]

Preferred Qualifications:

Master's or Ph.D. Degree in a quantitative field