RL Analytics - Content, Data Science Manager
Burlingame, CA
In this role, as a Data Science Manager for Content in Reality Labs, you will lead a team of data scientists to produce insights and data assets that guide our content strategy and investments, and identify ways to further the impact content on the Quest ecosystem. RL Content Data Science works closely with our Content organization to fill Mixed Reality and the Metaverse with content that our users love, whether games, media, fitness, or beyond. The team is rapidly growing in a unique function at Meta.
You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
About the role:
Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.RL Analytics - Content, Data Science Manager Responsibilities
- Drive analytics projects end-to-end in partnership with teams from Engineering, Product Management and across the Analytics community to inform, influence, support, and execute product strategy and investment decisions
- Inspire, lead, and grow a team of data scientists and manager(s) to fulfill our longer term vision.
- Actively influences the design of the strategy and shaping of the roadmap within this scope. Generate and use team insights to set and prioritize longer term goals.
- Develop understanding of complex distributed systems and sub-components, as well as broader industry challenges, to identify present and future risks and opportunities.
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
- Grow analytics expertise around you, upskilling your team, engineers, and others, to increase overall team impact.
- Experience communicating both in low-level technical details as well as high-level strategies
- BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
- A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including a minimum of 2 years of experience managing analytics teams
- 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
- Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
- Track-record driving product roadmap and execution
- Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
- Proven track record of leading high-performing analytics teams.
- 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including 3+ years of experience in the gaming or media industry.
- Knowledge and understanding of content lifecycle (sourcing, greenlight, launch, etc.), creator ecosystems, platform interactions.
- Experience partnering with and influencing stakeholders of all layers and functions, from Content to Product to Marketing.
- Knowledge of content greenlight processes and analysis
- Knowledge of high impact industry data sources
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Computer Science Distributed Systems Econometrics Economics Engineering Finance Machine Learning Mathematics Physics Research Statistical modeling Statistics VR
Perks/benefits: Career development Equity Health care Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Power BI Developer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Consulting-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs