GE Vernova · 1 week ago

Sr. Data Scientist

Bothell, WA

Full-time

Onsite

Senior Level

$174K/yr - $182K/yr

5+ years exp

Wonder how qualified you are to the job?

EnergyEnergy Efficiency

Actively Hiring

Insider Connection @GE Vernova

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

Develop analytics to address customer needs and opportunities.

Work with 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Analytic Software ToolsData CleansingData Quality AssessmentApplied AnalyticsDescriptive StatisticsFeature ExtractionPredictive AnalyticsData Visualization

Required

Bachelor’s Degree in Computer Science or STEM Majors (Science, Technology, Engineering, or Math) + 5 years of experience in Data Science or Engineering

OR Master’s Degree in Computer Science or STEM Majors (Science, Technology, Engineering, or Math) + 2 years of experience in Data Science or Engineering

2 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

1 year experience in the use of applied analytics, descriptive statistics, feature extraction, and predictive analytics on industrial datasets

2 years experience with data visualization and storytelling for an audience of stakeholders