Job Description Summary
Job Description
Essential Functions / Responsibilities:
GE Energy Management Services LLC seeks Staff Data Scientist (multiple positions) to contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets; Be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets; These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units; Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization; Work with customers to capture data and analytics requirements; Develop, verify, and validate analytics to address customer needs and opportunities; Work alongside software developers and software engineers to translate algorithms into commercially viable products and services; Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics; Perform exploratory and targeted data analyses using descriptive statistics and other methods; Work with data engineers on data quality assessment, data cleansing and data analytics; Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes; Communicate methods, findings, and hypotheses with stakeholders.
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Qualifications / Requirements:
Position requires a Bachelor's degree, or foreign degree equivalent, in Computer Science or "STEM" Majors (Science, Technology, Engineering or Math) + 6 years of progressively responsible experience in Data Science or Engineering occupation. In the alternative, position requires a Master's degree, or foreign degree equivalent, in Computer Science or "STEM" Majors (Science, Technology, Engineering or Math) + 3 years of experience in Data Science or Engineering occupation. The position also requires 3 years of experience with feature extraction and real time analytics development and deployment, 3 years of experience with prescriptive analytics and analytic prototyping, 3 years' experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python), 2 years' experience with data cleansing, data quality assessment, and using analytics for data assessment, 2 years' experience in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets, and 2 years' experience with data visualization and storytelling for an audience of stakeholders.
The salary range for this position is $174,200.00 - $215,280.00. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate's experience and their education.
Available health and welfare benefits include healthcare, prescription drug, dental, and vision coverage; savings account options (such as a Health Care Flexible Savings Account, Health Reimbursement Account, Limited Purpose Flexible Spending Account, and Dependent Care Flexible Spending Account); and an employee assistance program. Additional benefits include a defined contribution 401(k) plan, employee life insurance, optional dependent life insurance, employee accidental death or dismemberment insurance coverage, salary continuance program benefits for disability, optional long-term disability, paid holidays, paid time off, tuition reimbursement program, adoption assistance, optional identity theft prevention insurance, and optional personal excess liability insurance. GE will only employ those who are legally authorized to work in the United States for this opening.
100% remote position. Telecommuting is permitted. When not telecommuting, must report into offices at 19015 North Creek Parkway, Bothell, WA 98011.