Data Scientist

Key Responsibilities
• Data Acquisition & Integration: Extract, clean, and integrate data from various "flavors" of databases, including relational (SQL) and non-relational (NoSQL) systems.
• Exploratory Data Analysis (EDA): Perform deep-dive analyses to identify patterns, anomalies, and trends within data center metrics such as power usage, cooling efficiency, and server performance.
• Advanced Modeling: Develop, test, and deploy machine learning models and predictive algorithms to forecast infrastructure needs and automate operational processes.
• Data Visualization: Create intuitive dashboards and reports to communicate complex findings to both technical teams and executive stakeholders.
• Cross-Functional Collaboration: Partner with data engineers to optimize data pipelines and ensure data quality across our global data center footprint.

Required Qualifications
• Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Technical Skills:
o Proficiency in Python or R for data manipulation and modeling.
o Advanced SQL skills for querying complex relational databases.
o Experience with NoSQL databases (e.g., MongoDB, Cassandra) and big data frameworks (e.g., Apache Spark).
o Strong foundation in Statistics and Probability.
• Soft Skills: Excellent communication, problem-solving, and the ability to translate technical data into business-relevant narratives.
Preferred Experience
• Prior experience working within a data center or large-scale infrastructure environment.
• Familiarity with cloud computing platforms (AWS, GCP).
• Experience with MLOps for productionizing and monitoring models