Senior Data Scientist Product Analytics

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

Required:

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

A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)

Bachelor’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience

Experience with data querying languages (eg SQL), Scripting languages (eg Python), and/or statistical/mathematical software (eg R)

Preferred:

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

Meta is a social technology company that enables people to connect, find communities, and grow businesses. Founded in 2004, the company is headquartered in Menlo Park, California, USA, with a team of 10001+ employees. The company is currently Public Company. Meta has a track record of offering H1B sponsorships.