Data Scientist • Mid-Level

Who you are

You have a strong background in data science, with experience in product analytics and a passion for shaping user experiences through data. You possess excellent analytical skills and can translate complex data into actionable insights that drive product development. Your ability to communicate effectively allows you to influence stakeholders and collaborate with cross-functional teams, ensuring that data-driven decisions are at the forefront of product strategy.

You are proficient in SQL and Python, and you have a solid understanding of data analysis and visualization techniques. You thrive in environments where you can apply your technical skills to solve real-world problems, and you are comfortable working with large datasets to extract meaningful insights. Your experience in product analytics enables you to identify opportunities for improvement and quantify the impact of product changes.

What you'll do

As a Data Scientist at Meta, you will work closely with product teams to define and analyze key metrics that inform product strategy. You will develop hypotheses and employ rigorous analytical approaches to test them, guiding teams with data-driven insights. Your role will involve collaborating with various stakeholders, including engineering, marketing, and finance, to address product challenges and prioritize development efforts.

You will be responsible for shaping product development by using data to quantify new opportunities and identify challenges. Your insights will help teams set goals and understand their product's ecosystem, ensuring that the products built bring value to users and businesses alike. You will also focus on developing clear and compelling narratives around data, enabling you to communicate findings effectively and influence decision-making processes.

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 on innovative products that impact billions of users worldwide. The collaborative environment encourages you to share knowledge and learn from others, fostering a culture of continuous improvement and excellence in analytics. Meta offers competitive compensation and benefits, along with a commitment to diversity and inclusion in the workplace.