Data-Driven Infrastructure Specialist

1 day ago


Menlo Park, California, United States META Full time

About Us: Meta is a technology company that operates the world's largest social network. We are committed to building technologies that help people connect, find communities and grow businesses.

About the Role:

We are seeking a highly skilled Data Scientist to join our Infrastructure Capacity Planning Team. As a key member of this team, you will be responsible for planning and optimizing the company's infrastructure needs, ensuring timely delivery and efficient operation.

Responsibilities:

  1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
  3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
  4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
  5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 12+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development.
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
  • Experience framing and communication skills.
  • Proven intellectual curiosity and drive, decisiveness, with ambiguity and complexity.

Compensation:

$253,000/year to $314,000/year + bonus + equity + benefits



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