Meta Data Analyst

6 days ago


Fremont, California, United States META Full time

Job Summary

META is seeking an experienced data scientist to join our Infrastructure Data Centers team. The ideal candidate will have a passion for working in ambiguous environments and creating impact from the ground up in a fast-paced environment.

About the Role

In this role, you will be responsible for collaborating with cross-functional teams to define problems, analyze impacts, and develop solutions that improve decision-making and efficiency. You will also be expected to translate business challenges into data-driven problems and design appropriate data science solutions.

Key Responsibilities

  • Develop and implement statistical models to influence critical business decisions and Data Center operations.
  • Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions.
  • 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.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 6+ years of experience with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.
  • 6+ years of experience managing and analyzing large-scale data using Python, R, or similar languages.
  • 6+ years of experience working with visualization tools such as Tableau, PowerBI, or similar.
  • 6+ years experience analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.
  • Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis.
  • Proven track record of managing and leading cross-functional projects and teams.
  • Solid understanding of machine learning techniques and algorithms.
  • Hands-on programming experience in one or more of: AI/ML, LLM, NLP, Statistical modeling.
  • Proficient in statistical analysis and experimental design.

Preferred Qualifications

  • Technical knowledge of data center operations.
  • Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.
  • Knowledge of simulation and optimization techniques.
  • Strong communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions.

Compensation and Benefits

$145,000/year to $204,000/year + bonus + equity + benefits


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