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, and WhatsApp 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. To apply, click “Apply to Job” online on this web page.Data Science Manager Responsibilities

• Perform technical data science duties and oversee a team of Data Scientists.
• Serve as an analytics leader to work on Meta’s core social media products and drive informed business decisions.
• Oversee the work of Data Scientists as they perform quantitative analysis and data mining.
• Work with one of the richest data sets in the world and cutting edge technology.
• Use analytics to drive the understanding, progression, and user engagement of a product.
• Build and maintain reports, dashboards, and metrics to monitor the performance of products.
• Present statistical data to management in order to inform, influence, and execute Meta’s product decisions.
• Drive data science efforts, communicate cross-functionally, and be a subject matter expert.
• Partner with Product and Engineering leadership teams to identify trends and opportunities, and to develop strategic problem solving road maps.
• Lead Data Scientists as they mine massive amounts of statistical data and extract useful product insights.
• Manage the development of data resources, requirements gathering, source organization, and the execution and delivery of product launches.
• Inform, influence, support and execute our product decisions.
• Support organizational efforts to screen and recruit members to the data science
  team.
• Onboard and mentor junior team members to help them develop required skills and knowledge to be successful on the team.
• Create road maps and prioritize work to optimize the impact of the data science team.
• Develop and communicate clear requirements and goals for team members.
• Provide timely and actionable feedback on performance to team members.
• Support the individual and career growth of team members to minimize attrition and maximize impact.
• Help promote an unbiased and rewarding work environment by fairly and accurately recognizing high impact team members.

Minimum Qualifications

• Employer will accept a Bachelors’ degree (or foreign equivalent) in Computer Science, Software Engineering, Applied Sciences, Statistics, Mathematics, or related field, and 36 months of work experience in the job offered or in a data science or computer-related occupation
• Experience must include 36 months of experience in the following:
• 1. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
• 2. Data analysis and algorithm development
• 3. Optimization, probability, statistics, or machine learning
• 4. Large data stores
• 5. ETL (Extract, Transform, Load) processes
• 6. Relational databases and SQL
• 7. Development in PHP, Python or Perl
• 8. Large data sets
• 9. Large scale data processing infrastructure using distributed systems (Hadoop, Hive, MapReduce, Teradata, or MPI)
• 10. Statistical analysis packages such as: R, MATLAB, SPSS, SAS or Stata
• 11. Technical presentation skills
• 12. Working with cross-functional teams to choose/create metrics and set metric goals
• 13. Mentoring junior team members and contributing to organizational development

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the c