Data Scientist • Mid-Level

Who you are

You have a strong background in data science, with experience in applying analytical techniques to solve complex product challenges. Your technical skills in SQL and Python enable you to manipulate and analyze large datasets effectively, allowing you to derive actionable insights that drive product development. You possess a keen product intuition, understanding how data can shape user experiences and business outcomes.

You excel in communication and storytelling with data, capable of presenting insights in a clear and compelling manner to influence stakeholders. Your collaborative spirit allows you to work seamlessly with cross-functional teams, including Product, Engineering, and Marketing, ensuring that data-driven decisions are at the forefront of product strategy. You are comfortable navigating ambiguity and thrive in environments where you can leverage your analytical mindset to tackle diverse business problems.

What you'll do

As a Data Scientist at Meta, you will be at the intersection of product-focused research and real-world impact. You will collaborate with various teams to define product experiences that reach billions of users. Your role will involve using data to identify opportunities and challenges in product development, influencing strategic decisions that align with user needs and business goals. You will apply a variety of analytical methodologies and frameworks to test hypotheses and validate product concepts.

You will be responsible for quantifying new opportunities and setting goals that guide product teams in their development efforts. Your insights will help prioritize features and enhancements, ensuring that the products we build deliver maximum value to users and businesses alike. You will also engage in continuous learning and skill development within a world-class analytics community, contributing to the growth of your peers and the organization.

What we offer

Joining Meta means becoming part of a mission-driven organization that values innovation and collaboration. You will have access to a wealth of resources for professional development and career growth in analytics and beyond. The culture at Meta encourages experimentation and learning, allowing you to explore new methodologies and technologies that can enhance your work. You will be part of a diverse team that is dedicated to making a meaningful impact on the lives of billions of people around the world.