Description

Own the end-to-end data lifecycle for global data center infrastructure, from ingestion to productionized models.

This role is on-site.

Responsibilities

• Extract, clean, and integrate data from relational (SQL) and non-relational (NoSQL) databases.
• Perform deep-dive exploratory data analysis on power usage, cooling efficiency, and server performance metrics.
• Develop, test, and deploy machine learning models to forecast infrastructure needs and automate operations.
• Create intuitive dashboards and reports to communicate complex findings to technical and executive stakeholders.
• Partner with data engineers to optimize pipelines and ensure data quality across the infrastructure footprint.

Required Skills

• 5+ years of experience in data science or analytics roles.
• Proficiency in Python or R for data manipulation and modeling.
• Advanced SQL skills for querying complex relational databases.
• Experience with NoSQL databases such as MongoDB and Cassandra.
• Hands-on experience with big data frameworks like Apache Spark.
• Strong foundation in statistics and probability.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.

Preferred Skills

• Familiarity with cloud computing platforms (AWS, GCP).
• Experience with MLOps for productionizing and monitoring models.

Key Skills

Education

Bachelor's or Master's degrees