
About Meta (Facebook)
Connecting people through innovative technology
Key Highlights
- Over 2.9 billion monthly active users across platforms
- Headquartered in Menlo Park, California
- Valued at over $800 billion
- Significant investments in Oculus and AR/VR technology
Meta (formerly Facebook) is a leading technology company focused on building the metaverse, with over 2.9 billion monthly active users across its platforms, including Facebook, Instagram, and WhatsApp. Headquartered in Menlo Park, California, Meta has invested heavily in virtual reality and augmente...
🎁 Benefits
Meta offers competitive salaries, equity compensation, generous PTO policies, comprehensive health benefits, and a robust parental leave program. Empl...
🌟 Culture
Meta fosters a culture of innovation and experimentation, encouraging employees to take risks and explore new ideas. The company emphasizes a mission-...
Skills & Technologies
Overview
Meta is hiring a Data Scientist for Product Analytics to shape the future of their applications. You'll leverage data to influence product strategy and collaborate with cross-functional teams. This role requires strong analytical skills and experience in data-driven decision-making.
Job Description
Who you are
You have a strong background in data science with experience in product analytics — you've worked with large datasets and have a knack for deriving actionable insights that drive product development. Your analytical mindset allows you to tackle complex business problems and identify opportunities for improvement. You are proficient in SQL and have experience with data visualization tools, enabling you to present data-driven stories that resonate with stakeholders. You thrive in collaborative environments, working closely with product, engineering, and marketing teams to influence product strategy and investment decisions.
You possess excellent communication skills — you can articulate complex data insights in a clear and compelling manner, ensuring that your recommendations are understood and actionable. Your ability to build credibility through structured insights makes you a trusted partner across various teams. You are passionate about using data to shape user experiences and drive business outcomes, and you are eager to contribute to a world-class analytics community.
What you'll do
As a Data Scientist at Meta, you will be at the forefront of shaping the future of people-facing and business-facing products. You will apply your technical skills and product intuition to analyze one of the richest datasets in the world, helping to define experiences for billions of users. Your role will involve collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance to tackle a wide array of product and business challenges. You will use data and analysis to identify and solve product development's biggest challenges, ensuring that the products we build bring value to users and businesses alike.
You will guide teams using data and insights, focusing on developing hypotheses and employing a variety of rigorous analytical approaches to test them. Your work will influence product strategy and investment decisions, and you will help partner teams prioritize what to build and set goals. You will be responsible for telling data-driven stories that convince and influence your partners, building credibility through clarity and structure. Your contributions will have a direct impact on the success of Meta's products and the experiences of users worldwide.
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 reach billions of users, and you will be supported in your professional development. Meta offers a collaborative and inclusive work environment where your contributions are valued and recognized. You will have access to resources and tools that enable you to excel in your role and make a meaningful impact on the company's product strategy.
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