Data Science Manager

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.Instructions on how to apply, click “Apply to Job” online on this web page.

• Define metrics of success and drive strategic alignment within the Instagram Infrastructure Data Science team
• Work cross functionally with software engineers, production engineers, and technical program managers to make sure that Instagram continues to be the most reliable and well-crafted app on the planet as it scales
• Implement best practices around experimentation and metrics anomaly detection
• Investigate ad hoc issues and debug regressions
• Report to Instagram and Facebook stakeholders and coordinate across the company
• Oversee the building and maintenance of reports, dashboards, and metrics to monitor the performance of our products
• Ensure we have the appropriate logging, tables, and dashboards to measure product success
• Develop new metrics with accuracy and stability
• Validate metric accuracy for internal and external reporting

• Employer will accept a Bachelor's degree in Computer Science, Engineering, Electrical & Electronic Engineering, Applied Sciences, Mathematics, Physics or related field and 24 months of work experience in job offered or in an Information Technology Project Manager-related occupation. Experience must include 6 months of experience in each of the following:
• Machine learning techniques
• ETL (Extract, Transform, Load) processes
• Relational database (SQL or PL*SQL)
• Developing in scripting language: PHP, Python, or Perl
• Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
• Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
• Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
• Communicating and presenting results of data analyses

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.