Infrastructure Insights Specialist

3 weeks ago


Fremont, California, United States META Full time

Data Scientist Job Description

We are seeking a highly skilled data scientist to join our team at META. As a lead data scientist, you will partner with stakeholders, program managers, and other data science functions to translate META's Infrastructure Data Centers' data into value.

Responsibilities

  • 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 metrics and analytics, business intelligence, experimentation.
  • Build analytical models to derive insights and support decision-making across organizational leadership.
  • Implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center operations.
  • Develop analytics solutions utilizing expertise in statistics, machine learning, optimization, and automation.
  • 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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