Machine Learning & Data Scientist, OS Power & Performance
Machine Learning & Data Scientist, OS Power & Performance
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1 Vacancy
Job Description
- Strong Quantitative Foundation: Education in Computer Science Electrical Engineering or a related quantitative field. Strong mathematical foundations software engineering and broad knowledge of data analysis and practical machine learning are expected.
- Data Engineering and Analytics: Skilled at scalably transforming raw data into actionable insights through practical problem formulation followed by building of ETL processes (e.g. Python & Spark) and data visualizations (e.g. Tableau)
- Business Acumen and Problem-Solving: Ability to understand the broader business context solve complex problems and communicate findings effectively to stakeholders.
- Adaptability and Collaboration: Comfortable with ambiguity eager to learn and capable of working effectively in a collaborative environment. Strong interpersonal skills and the ability to build relationships with diverse stakeholders are essential.
- M.S. or Ph.D. in Computer Science Electrical Engineering Applied Mathematics Statistics or a similar quantitative field with strong statistical skills and intuition
- Proficiency in distributed compute & storage technologies such as HDFS S3 Iceberg Spark and Trino
- Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow)
- Working knowledge of Operating Systems
- Experience driving cross-functional projects with diverse sets of stakeholders
- Skilled at connecting data insights to the companys overall strategy and objectives.
Employment Type
Full-Time
