Product Analytics Data Scientist — Drive Strategy with Data

Meta; Oklahoma City (OK); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Scientist to shape product analytics across its family of applications, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. You will apply your analytical mindset to vast data sets and collaborate with cross-functional partners to drive product strategy and investments.

You will partner with Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others to identify problems, test hypotheses, and deliver measurable impact at scale for

Qualifications

• Bachelor's degree in CS, CS Engineering or equivalent practical experience.
• At least 6 years analytics experience (4 years with a PhD).
• Bachelor's degree in Mathematics/Statistics or related field.
• Experience with data querying languages (SQL), scripting (Python), or statistical tools (R).

Responsibilities

• Work with large and complex data sets to solve a wide range of problems using analytical approaches.
• Apply quantitative analysis, experimentation, data mining, and data presentation to shape product strategies.
• Identify and measure success of product efforts through goals, forecasts, and metrics.
• Define opportunities and drive roadmaps from insights and recommendations.
• Collaborate with Product, Engineering, and cross-functional teams to inform and execute strategy.

Skills

SQL

Python

R

Data analysis

Education

Bachelor's degree in Computer Science

Bachelor's degree in Mathematics/Statistics or related field

6+ years analytics experience (4+ years with PhD)

Tools

SQL

Python

R

Job description

Meta is seeking a Data Scientist to shape product analytics across its family of applications, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. You will apply your analytical mindset to vast data sets and collaborate with cross-functional partners to drive product strategy and investments.

You will partner with Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others to identify problems, test hypotheses, and deliver measurable impact at scale for