Lead Data Scientist

Key Skills

Python Programming, SQL, Machine learning techniques, Data science techniques, AI technology, Data Analytics, R Programming, Algorithms, Data pipelines, Internet of Things- IoT

Job Description

Eaton’s Center of Intelligent Power (CIP) is a global data science research and software development organization that has an exciting and rewarding opening for a Lead Data Scientist to join our team. This position can be based at our Moon Township PA, Menomonee Falls WI, Southfield MI, Cleveland OH or Raleigh NC facility. Relocation assistant is available as needed!

Position Overview:

The Lead Data Scientist will be directly involved in the application of statistics, machine learning, and analytic approaches to answer challenging business questions. The Lead Data Scientist will assist in the design, implementation and management of platforms used to demonstrate, validate, and commercialize data science technologies, including internal/external pilot programs and proof-of-concept environments. This position is expected to work as part of a global team and needs to be comfortable working through ambiguity to shape effective solutions.

Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each and every day. It’s where bold, bright professionals like you can reach your full potential—and where you can help us reach ours.

In this role you will:

• Develop advanced machine learning, data analytics, AI and optimization algorithms and apply them to create new intelligent devices, solutions, and services for Eaton’s businesses.
• Identify data requirements for analytics algorithms and design, build, and validate technology development/validation platforms required technology validation.
• Derive, interpret, and effectively deliver the results of data analysis using visualization techniques, tools, custom applications, or by narrating stories about the solutions to business problems.
• Perform data analysis to verify equipment data integrity and troubleshoot issues to resolve.
• Develop subject matter expertise on the Eaton and third-party sensors, equipment, and technologies relevant to technology. development & validation platforms.
• Work closely with the team Data Engineers to integrate equipment and associated data into CIP’s (Brightlayer) analytics platform.
• Work directly with CIP team members and business stakeholders, engineering, and testing to create high quality solutions that solve technology maturation needs.
• Explore data, ask the right questions, and provide compelling findings.
• Provide technical and process training to internal and external stakeholders.

Why work at Eaton? We provide benefits that are industry competitive and focused on employee well-being. Listed below are programs that are offered globally, but program availabilities may vary by site.

• Flexible work options to help balance work/life demands (at participating Eaton sites)
• Healthcare/retirement savings programs
• Competitive compensation packages to reward skills and performance
• Tuition assistance or financial help for ongoing learning and development
• Health, Dental, Vision & Wellness programs
• Donation matching (U.S., Canada, Puerto Rico) 

When we embrace the different ideas, perspectives and backgrounds that make each of us unique, we — as individuals and as a company — are stronger.

Qualifications

Required (Basic) Qualifications:

• Master's Degree in Computer Science, Engineering, Software Engineering, Physics or comparable from an accredited instituion.
• MInimum of 1 year experience with application to data analytics.
• Minimu of 1 year experience with fundamentals of machine learning, data science, IoT and digitalization strategies by enabling the evaluation and application of new sensors and technologies.

Preferred Qualifications

• PhD in Computer Science, Engineering, Software Engineering or Physics from an accredited institution.
• 3+ years of industrial experience with application to data analytics, IoT, data driven system development.
• Strong technology depth and breadth in advanced machine learning and data analytics techniques.
• Experience in the application of machine learning and data science approaches to solve practical industrial problems with the ability. to clearly articulate the value of created technologies.
• General understanding of data pipelines, processing, storage (database).

Position Criteria

• General understanding of signal processing and data manipulation methodologies.
• Experience working with data acquisition systems.
• Excellent verbal and written communication skills including the ability to effectively explain technical concepts.
• Problem solving & a continuous learning, digital mindset.
• Proactive and self-driven.

There is no better time to join Eaton than in this exciting era of power management. We’re reimagining innovation by adapting digital technologies — connected devices, data models and insights — to transform power management for safer and more sustainable and efficient power use.

Our teams are collaborating to build the best digital solutions for our customers. We are looking for digital talent who want to help set the direction for this digital transformation and create new ways of working and thinking, for ourselves and our customers.

What you will get from us

Eaton’s mission is to improve the quality of life and the environment through the use of power management technologies and services. We provide sustainable solutions that help our customers effectively manage electrical, hydraulic and mechanical power – more safely, more efficiently and more reliably. Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each day. It’s where bold, bright professionals like you can reach your full potential—and where you can help us reach ours. Eaton’s 2020 revenues were $17.9 billion, and we sell products to customers in more than 175 countries. We have approximately 85,000 employees.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Job: Engineering

Region: North America – US/Puerto Rico
Organization: CTO Corporate Technology Office

Job Level: Individual Contributor
Schedule: Full-time
Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: Yes – Hybrid
Does this position offer relocation?: Relocation from within hiring country only
Travel: Yes, 10 % of the Time