Data Scientist • Mid-Level

Who you are

You have a strong background in data science, with experience in product analytics and a passion for using data to drive product decisions. Your analytical mindset allows you to tackle complex business problems, and you are skilled at communicating insights effectively to various stakeholders. You thrive in collaborative environments, working closely with product, engineering, and marketing teams to influence product strategy and development.

You possess expertise in SQL and data visualization tools, enabling you to extract meaningful insights from large datasets. Your ability to tell compelling data-driven stories helps you build credibility and influence decisions across teams. You are comfortable developing hypotheses and employing rigorous analytical methodologies to test them, ensuring that your recommendations are backed by solid data.

What you'll do

As a Data Scientist at Meta, you will work on shaping the future of products that impact billions of users. You will analyze user behavior and product performance, identifying opportunities for improvement and quantifying the impact of product changes. Your role will involve collaborating with cross-functional partners to prioritize product features and set strategic goals based on data insights.

You will guide teams in using data to inform their decisions, focusing on developing hypotheses and employing various analytical approaches to validate them. Your insights will help teams understand their product's ecosystem and the value it brings to users and businesses. You will also be responsible for communicating your findings clearly, ensuring that your partners can act on your recommendations effectively.

What we offer

Joining Meta means becoming part of a world-class analytics community dedicated to skill development and career growth. You will have the opportunity to work with one of the richest datasets in the world, influencing products that reach billions of people. The collaborative culture at Meta encourages you to grow your skills and make a significant impact on the products you work on.