Meta, formerly Facebook Inc., is seeking a Data Scientist to join their innovative team. This role sits at the intersection of data analysis, machine learning, and business strategy, offering an exciting opportunity to work with some of the world's largest datasets and most impactful social technologies.
The position requires a strong foundation in statistical analysis and machine learning, with the successful candidate expected to perform large-scale data analysis and develop statistical models for various applications including segmentation, classification, and optimization. You'll be working with cutting-edge technologies and tools to analyze complex datasets and derive meaningful insights that will shape the future of Meta's products and services.
As a Data Scientist at Meta, you'll have the opportunity to work on projects that impact billions of users across Facebook, Instagram, WhatsApp, and Meta's emerging AR/VR platforms. You'll collaborate closely with cross-functional teams, including Product, Engineering, and Operations, to drive data-informed decisions and influence the direction of the business through your analytical insights.
The role offers competitive compensation ranging from $166,698 to $196,900 per year, plus bonus and equity opportunities. Meta provides a comprehensive benefits package and the chance to work with some of the brightest minds in the industry. The company's commitment to pushing the boundaries of social technology, particularly in the realm of AR/VR and the metaverse, makes this an exciting time to join the team.
You'll be based in Seattle, working in a dynamic environment that values innovation and creative problem-solving. The position requires a Master's degree in a relevant field and strong experience with statistical analysis, machine learning, and large-scale data processing. If you're passionate about turning complex data into actionable insights and want to be part of shaping the future of social connection, this role offers an excellent opportunity to make a significant impact while advancing your career in data science.