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# Senior Machine Learning & Data Scientist, OS Power & Performance in , United States

- **Company:** Energy Jobline
- **Location:** United States
- **Experience:** Expert
- **Salary:** $150,400.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon S3, Data Analysis, Big Data, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Visualization, Data Warehousing, Hadoop Distributed File System, Python (Programming Language), Machine Learning, Software Engineering, Tableau (Software), Apache Spark, Kubernetes, Storage Technologies, Information Technology
- **Published:** July 24, 2026
- **Apply:** https://www.energyjobline.com/job/senior-machine-learning-data-scientist-os-power-performance-united-states-31229460

## About the Role

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 company's overall strategy and objectives.
Pay & Benefits

## Description

We're looking for a proactive & impact-driven engineer with excellent machine learning, analytical, problem solving and communication skills. In this role, you will analyze high dimensional data to derive meaningful insights and be responsible for producing metrics, models, simulations, and tools for analysis & communication of insights from large datasets. To be successful, you must have a strong foundation in statistical analysis and the ability to apply it to solving business & product-development problems, as well as a strong software engineering background with the ability to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products.
Responsibilities

Analyze high dimensional data to derive meaningful insights.
Produce metrics, models, simulations, and tools for analysis & communication of insights from large datasets.
Apply statistical analysis to solving business & product-development problems.
Write production level code.
Provide meaningful insights to teams and influence decisions across Apple on a broad range of products.


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