Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for META. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.
Summary
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.
Required Skills
Data Scientist Responsibilities:
- Leverage data and business principles to drive large scale Metas Data Center programs.
- Define and develop the program for metrics creation, data collection, modeling, and reporting the operational performance of Metas data centers.
- Collaborate with cross-functional data and business teams to define problem statements, access and manipulate data, build analytical models, explain data-gathering requirements, deliver analytics insights, and make recommendations.
- Define, compute, track, and continuously validate business metrics with descriptive and predictive analytics.
- Leverage tools like Python, SQL, R, and Tableau for analytics.
- Design and implement statistical models such as hypothesis testing, forecasting, statistical process control and simulation to evaluate critical business decisions and influence data center planning and operations.
- Identify gaps in the operational processes, build analytical models for finding insights and helping in driving decisions across different org leadership.
- Provide mentorship to other members of the team on development of best practices for design and implementation of cutting-edge analytics insights.
- Lead and support various ad hoc projects, as needed, in support of Meta's data center strategy.
Minimum Qualifications
Minimum Qualifications:
- Bachelor's degree (or foreign degree equivalent) in Computer Science, Computer Engineering, Engineering, Mathematics, Statistics, Operations Research, Management Science, or a related field and 2 years of experience in the job offered or in a related occupation.
- Experience must include 2 years of experience in the following:
- Analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders
- Scripting in Python, R or similar languages
- Working with visualization tools such as Tableau, Power BI, or similar
- End-to-end managing and leading cross-functional projects involving internal and external teams
- Communication and storytelling experience to influence all organizational levels (e.g. engineers, executives and cross-functional teams) to drive business decisions
- Statistics (e.g. modeling, experimental design, hypothesis)
Public Compensation
$182,360/year to $196,900/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity
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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
If you have questions about this posting, please contact support@lensa.com