Meta (Facebook)

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-...

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 decisions. Your analytical mindset allows you to tackle complex business problems and identify opportunities for improvement.

You are proficient in SQL and Python, enabling you to manipulate and analyze data efficiently — you understand various data analysis techniques and can visualize data to communicate findings effectively. Your experience with data visualization tools helps you tell compelling stories with data, making insights accessible to stakeholders.

You possess excellent communication skills, allowing you to convey complex data-driven insights to non-technical partners — you build credibility through clarity and structure, ensuring that your recommendations are understood and actionable. You thrive in collaborative environments, working closely with product, engineering, and marketing teams to align on goals and strategies.

You are data-driven and have a strong intuition for product development — you enjoy experimenting with different methodologies and frameworks to test hypotheses and validate assumptions. Your ability to influence product strategy through data analysis is a key strength.

What you'll do

As a Data Scientist at Meta, you will shape the future of both people-facing and business-facing products across the family of applications. You will collaborate with cross-functional partners to identify and solve product development challenges using data and analysis. Your role will involve guiding teams with insights derived from data, helping them prioritize what to build and set goals.

You will influence product strategy and investment decisions by quantifying new opportunities and identifying upcoming challenges — your analytical approaches will be crucial in ensuring that the products we build bring value to users and businesses alike. You will develop hypotheses and employ a variety of analytical techniques to test them, ensuring that your insights are robust and actionable.

You will not only present data but also tell compelling stories that resonate with your partners — your ability to communicate insights clearly will help you build trust and credibility within the organization. You will be a strategic partner, guiding teams in their decision-making processes and helping them understand their product's ecosystem.

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 impactful projects that shape the experiences of billions of users worldwide. The collaborative culture at Meta encourages innovation and creativity, allowing you to explore new ideas and approaches in your work.

You will have access to resources and support for your professional development, ensuring that you continue to grow in your career. The environment is designed to foster collaboration and knowledge sharing, making it an ideal place for data professionals to thrive.

Interested in this role?

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