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Job Details


Eaton

Data Science Specialist (093571)

Science and Research

Food Science

Yearly

No

Michigan, United States

Eaton Corporation is currently seeking a Data Science Specialist 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 assistance will be provided if needed.The Data Science Specialist will be directly involved in the application of statistics, machine learning, and analytic approaches to answer challenging business questions. This work will help businesses across the enterprise solve critical business problems, uncover new business opportunities, and turn their large volumes of data into valuable, actionable insights.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. Its where bold, bright professionals like you can reach your full potentialand 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 Eatons businesses=+ 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+ Apply traditional and new data analysis methods to build statistical models and discover patterns in data+ Explore data, ask the right questions, and provide compelling findings+ Utilize a broad range of techniques in machine learning, data mining, statistics, and big data interrogation methods+ Develop and execute agile work plans for iterative and incremental project delivery+ Coordinate with business stakeholders, engineering, and test to create high quality solutions that solve end-user problems+ Evaluate business requirements to determine potential solutions+ Develop data science competency and share principles, benefits, and best practices across the enterprise+ Assist other engineering teams with their data science initiativesWhen we embrace the different ideas, perspectives and backgrounds that make each of us unique, we as individuals and as a company are stronger. QualificationsBasic Qualifications:+ Masters degree in computer science, engineering, software engineering, statistics, applied mathematics or physics from an accredited institution+ Minimum of 3 years experience after Ph. D or 7 years of industrial experience+ Must be legally eligible to work in the United States on an on-going basis without Company sponsorshipPreferred Qualifications+ PhD in computer science, engineering, software engineering, statistics, applied mathematics or physics from an accredited institutionPosition Criteria+ Practical experience in the application of data science approaches with a proven track record of solving critical business problems and uncovering new business opportunities+ Solid technology depth and breadth in advanced machine learning and data analytics techniques with strong mathematical understanding of the algorithms+ Proficient software development skills in Python, R, Matlab and/or other programming languages+ Experience with Agile development methodologies and concepts+ Abreast of upcoming data science tools, trends, and methodologies+ Industrial domain knowledge of production-grade analytics solutions for industrial applications such as electric power systems (utility/micro grids) or machine diagnostics/prognostics+ Experience in Design Thinking or human-centered methods+ Knowledge of big data platforms (Hadoop, Azure, etc.)+ Experience preparing big data infrastructures, integrating data from disparate systems, and cleansing data+ Experience with visualization techniques+ Familiarity with machine learning libraries and frameworks such as (scikit-learn, Tensorflow, Keras, etc.)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.We make what matters work. Everywhere you lookfrom the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every dayyoull find one thing in common. It all relies on power. Thats why Eaton is dedicated to improving peoples lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. Were ethical, passionate, accountable, efficient, transparent and were committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters.Job: EngineeringRegion: North America US/Puerto RicoOrganization: CTO Corporate Technology OfficeJob Level: Individual ContributorSchedule: Full-timeIs remote work (i.e. working from home or another Eaton facility) allowed for this position?: NoDoes this position offer relocation?: Relocation from within hiring country onlyTravel: Yes, 10 % of the TimeIndeed Sponsored Job: IND123-SBengineeringEaton is an Equal Opportunity and Affirmative Action Employer. Eaton is 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.