GE Business Entity:    GE Energy Management Services LLC

Job Title:                     Staff Data Scientist (multiple positions)

Location:                     Bothell, WA

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Job Description:

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Responsible for contributing 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.

Experience/Qualifications:

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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 l