Product Analytics Data Scientist — Drive Global Impact

Meta; Bismarck (ND); On-site; USD 177,000 - 247,000; Full time

Job summary

Meta is seeking a Data Scientist in Product Analytics to shape insights across our family of apps, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. You will analyze massive data sets, collaborate with diverse teams, and influence product strategy with data-driven decisions.

You will apply your analytical mindset, experimentation skills, and strong communication to define success metrics, forecast outcomes, and support investment decisions that impact billions of users and hundreds

Qualifications

• Bachelor's degree in CS, CE, or related field or equivalent practical experience
• Minimum 6 years analytics experience (4 years with PhD)
• Bachelor's degree in Mathematics/Statistics or related field
• Experience with SQL, Python, and/or R

Responsibilities

• Work with large and complex data sets to solve challenging problems using various analytical methods
• Apply quantitative analysis, experimentation, data mining, and data presentation to shape product strategies for our apps
• Identify and measure success of product efforts through goals, forecasting, and monitoring key metrics
• Define opportunities and test levers to improve the product and drive roadmaps from insights
• Partner with Product, Engineering, and cross-functional teams to inform, influence, and execute product strategy and investments

Skills

Statistics

Experimentation

Data mining

A/B testing

Education

Bachelor's degree in Computer Science or related field

Bachelor's degree in Mathematics/Statistics

Tools

SQL

Python

R

Job description

Meta is seeking a Data Scientist in Product Analytics to shape insights across our family of apps, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. You will analyze massive data sets, collaborate with diverse teams, and influence product strategy with data-driven decisions.

You will apply your analytical mindset, experimentation skills, and strong communication to define success metrics, forecast outcomes, and support investment decisions that impact billions of users and hundreds