Data Scientist, Product Analytics (PhD)

This role is based in Menlo Park, CA.

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 products.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics.
• Define, understand, and test opportunities to improve the product, driving roadmaps through insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform and influence product strategy.

Minimum Qualifications:

• Currently has or is in the process of obtaining a Ph.D. in Mathematics, Statistics, or a relevant technical field.
• Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical packages (e.g., R).
• Must obtain work authorization in the country of employment at the time of hire.

Preferred Qualifications:

• Experience working with distributed computing tools (MapReduce, Hadoop, Hive).
• Experience manipulating and analyzing high-volume, high-dimensionality data.