Product Analytics Data Scientist - Impact at Scale

Meta; Charleston (WV); On-site; USD 177,000 - 247,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Data Scientist in Product Analytics to shape data-driven strategies for our billions of users and hundreds of millions of businesses across Facebook, Instagram, Messenger, WhatsApp, and more.

You will collaborate with Product, Engineering, Research, Data Engineering, Marketing, and Finance to apply analytical methods, test hypotheses, and tell compelling data stories that influence product investment decisions and roadmaps.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, 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, or a relevant technical field, or equivalent practical experience.
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).

Responsibilities

• Work with large and complex data sets to solve challenging problems using analytical and statistical approaches.
• Apply quantitative analysis, experimentation, data mining, and data presentation to develop strategies for products serving billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring key metrics.

Skills

Analytical thinking

Communication skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Mathematics/Statistics

Tools

SQL

Python

R

Job description

Meta is seeking a Data Scientist in Product Analytics to shape data-driven strategies for our billions of users and hundreds of millions of businesses across Facebook, Instagram, Messenger, WhatsApp, and more.

You will collaborate with Product, Engineering, Research, Data Engineering, Marketing, and Finance to apply analytical methods, test hypotheses, and tell compelling data stories that influence product investment decisions and roadmaps.