What are the responsibilities and job description for the Data Scientist position at Facebook?
Summary :
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Meta is seeking a highly skilled and motivated Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with stakeholders, Product & Program Managers, and other data science functions to translate Meta’s Infrastructure Data Centers’ data into value. You will have the opportunity to work on a wide range of data science projects, such as developing an analytics program to drive operational efficiency, conducting strategic analysis to facilitate decision making, building Machine Learning models and automation to increase predictive accuracy and reduce manual effort, and working with software developers to build analytical solutions. The ideal candidate will have a passion for working in an ambiguous environment and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics programs and machine learning solutions.
Required Skills :
- Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency.
- Translate business challenges into data-driven problems and design appropriate data science solutions, including analytics, business intelligence, experimentation, optimization, AI / ML, and automation.
- Identify operational gaps, build analytical models to derive insights, and support decision-making across organizational leadership.
- Design and implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center Planning & Operations.
- Utilize expertise in machine learning, statistics, and automation to develop analytics solutions.
- Deploy models to production, ensuring they operate reliably and efficiently at a large scale.
- Continuously monitor and update models to adapt to new data or changes in data patterns.
- Work closely with stakeholders, data engineers, and program / product managers to ensure seamless progress.
- Educate and influence stakeholders to enhance operational efficiency with empathy.
- Recommend process improvements based on operational data and user behavior to boost business performance.
- Mentor team members on data science best practices.
Minimum Qualifications :
Preferred Qualifications :
Public Compensation :
173,000 / year to $242,000 / 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.
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Salary : $242,000
