Data Scientist, Infra Capacity Planning (Leadership)
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer together
As a Data Scientist, you will collaborate on a wide array of product and technical problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve our biggest challenges across our Infrastructure organization. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
We are seeking a highly skilled and experienced Data Scientist to lead the development of data-driven solutions for Meta's Infrastructure organization. Meta’s Infrastructure organization provides the backbone on which the company operates. This includes all of the data centers, servers, network infrastructure, power infrastructure etc needed to run our products and services.
As a key member of the Capacity team, you will be responsible for planning and optimizing the company's infrastructure needs, ensuring timely delivery, and efficient operation. In addition to tackling an incredibly complicated optimization problem, we are looking for someone who can expertly execute across the company, as this charter requires contribution from nearly every org at Meta.Data Scientist, Infra Capacity Planning (Leadership) Responsibilities
253.000 $/year to 314.000 $/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
We are seeking a highly skilled and experienced Data Scientist to lead the development of data-driven solutions for Meta's Infrastructure organization. Meta’s Infrastructure organization provides the backbone on which the company operates. This includes all of the data centers, servers, network infrastructure, power infrastructure etc needed to run our products and services.
As a key member of the Capacity team, you will be responsible for planning and optimizing the company's infrastructure needs, ensuring timely delivery, and efficient operation. In addition to tackling an incredibly complicated optimization problem, we are looking for someone who can expertly execute across the company, as this charter requires contribution from nearly every org at Meta.Data Scientist, Infra Capacity Planning (Leadership) Responsibilities
- Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
- 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.
- Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
- 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.
- Experience in infrastructure planning, operations research, or a related field
- Familiarity with cloud computing platforms and infrastructure management systems
- Masters or Ph.D. Degree in a quantitative field.
253.000 $/year to 314.000 $/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
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Categories:
Data Science Jobs
Leadership Jobs
Tags: Computer Science Data Mining Engineering Finance Physics Python R Research SQL Statistics VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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