Data Scientist, Analytics

3 weeks ago

Bellevue, United States CareerBuilder Full time

In this role, your primary responsibility will be to partner with key stakeholders and program managers, and lead the development of analytics programs to support and enable the continued growth critical to Meta's Data Center E2E lifecycle. As we plan to grow our Data Center footprint, we need toleverage data to drive decisions andintroduce automation, predictability & optimization to allow us to operateefficiently and reliably at scale. You will be responsible for creating end-to-end analytics programs, from data sourcing to surfacing insights and driving action, for various aspects of Meta's global data center operations. You will also help translate business problems to data science problems, identify solutions and efficiency opportunities. You will be expected to use data to provide meaningful recommendations and actionable strategies to key stakeholders, and develop best practices, including streamlining of data sources and related programmatic initiatives. The ideal candidate will have a passion for working in white space 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 and metrics-based programs. This position is part of the Infrastructure Data Centers organization.

Data Scientist, Analytics Responsibilities

Leverage data and business principles to drive large scale Meta's Data Center programs.
Define and develop the program for metrics creation, data collection, modeling, and reporting the operational performance of Meta's 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 & Implement statistical models such as Hypothesis testing, Forecasting, statistical process control and simulation to evaluate critical business decisions and influence our Data Center planning & 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 Data Center strategy.

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Degree in an analytical field (e.g. Engineering, Mathematics, Statistics, Operations Research, Management Science, or related field)
5+ years of hands-on experience analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders
5+ years of experience in advanced SQL queries development
5+ years of experience with scripting in Python, R or similar languages
5+ years of experience of working with visualization tools such as Tableau, Power BI, or similar
5+ years of experience of end-to-end managing and leading many cross-functional projects and cross-functional teams (both internal and external)
Advanced communication and storytelling experience to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions
Knowledge of statistics (e.g. modeling, experimental design, Hypothesis etc.)
Be a self-starter, motivated by an interest for developing the best possible solutions

Preferred Qualifications

Technical knowledge of data center operations
Advanced degree in the above analytical fields
Knowledge of simulation and optimization techniques

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