Full-Time

Data Science Manager

Serving Infra

Updated on 1/1/2025

Meta

Meta

10,001+ employees

Social media platforms and virtual reality solutions

VR & AR
Consumer Software
Financial Services

Compensation Overview

$206k - $281kAnnually

+ Bonus + Equity + Benefits

Senior, Expert

Company Historically Provides H1B Sponsorship

Menlo Park, CA, USA + 2 more

More locations: Bellevue, WA, USA | Sunnyvale, CA, USA

Candidates must live in or expect to work from California if hired.

Category
Data Science
Data & Analytics
Required Skills
Supply Chain Management
Data Science
Product Management
Operations Research
Data Analysis
Requirements
  • 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 communicating in both low-level technical details, as well as high-level strategies.
  • Experience in cross-functional partnership among teams of Engineering, Product Management, and 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.
  • 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.
  • Experience partnering with and influencing stakeholders of all layers and functions, from Product to Engineering to Finance.
  • Experience working in infrastructure, financial products, or supply chain management.
  • Knowledge of system optimization techniques.
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.

Meta Platforms Inc. focuses on social media, communication tools, and virtual reality. It operates popular platforms like Facebook, Instagram, and WhatsApp, allowing users to connect, share content, and engage in communities. The Oculus division provides virtual reality hardware and experiences. Meta's primary revenue comes from advertising, offering businesses tools to target specific audiences using insights from its large user base. This advertising service is scalable and allows for tailored audience segmentation. Additionally, Meta explores revenue through virtual reality product sales and the metaverse, where it looks to monetize virtual goods and services. The company also invests in artificial intelligence and augmented reality to enhance its offerings, aiming to combine user engagement with advanced marketing tools.

Company Stage

IPO

Total Funding

$2.1B

Headquarters

Menlo Park, California

Founded

2004

Growth & Insights
Headcount

6 month growth

0%

1 year growth

22%

2 year growth

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • Meta's $10 billion investment in Rayville supports future growth.
  • Meta's diversification of GPU suppliers enhances hardware capabilities.
  • Meta's BLT architecture improves AI model efficiency.

What critics are saying

  • Increased competition in AR glasses market may impact Meta's market share.
  • Privacy concerns over smart glasses could lead to regulatory scrutiny.
  • Antitrust legal battles could result in significant fines for Meta.

What makes Meta unique

  • Meta's investment in AR technology sets it apart in the tech industry.
  • Meta's collaboration with JetBrains enhances app development efficiency.
  • Meta's partnership with Longroad Energy aligns with sustainability goals.

Help us improve and share your feedback! Did you find this helpful?