Sr Data Scientist

Key Skills

AWS, Python Programming, R Programming, SQL

Job Description

The Sr. Data Scientist, you will work as part of a world class team addressing the needs of the GE Digital Services Renewable business. In this role, you will be responsible for making devices more intelligent and advancing technology to the world we live in. You will play a key role in transforming large complex data sets into actionable insights that impact the bottom-line of the organization, thereby increasing revenue, reducing costs, and lowering the risk of our customers.

Job Description

The Sr Data Scientist will work in teams addressing statistical, machine learning, and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, optimization, and statistical methods for finding structure in large data sets. You will be part of a data science / 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, diagnostics, prognostics, and forecasting across infrastructure and industrial sectors, and operations optimization.

Essential Responsibilities:

• Work in technical teams to develop, deploy, and apply predictive and prescriptive analytics.
• Develop analytics to address customer needs and opportunities.
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
• 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.
• Develop algorithms using sensor and turbine performance data to find patterns and engineering models and approximations governing the condition of components in a wind turbine.
• Develop advanced statistics and machine learning algorithms (Change point detection, Regression, Classification, Survival analysis, Time series analysis) with applications to anomaly detection, fault diagnostics, forecasting and prognostics of wind turbine components. 
• Share and discuss findings with team members.

Qualifications:

• Ph.D. in a STEM” major (Science, Technology, Engineering, Mathematics) with at least 2 year analytics development for industrial applications (Renewable Energy is a plus) in a commercial setting applying forecasting, anomaly detection, ML (shallow and deep architectures), feedback control, and optimization, at least 2 years of experience applying analytics, descriptive statistics, feature extraction, predictive analytics with industrial datasets, data visualization and storytelling for an audience of stakeholders.
• Or Master’s Degree in a STEM” major (Science, Technology, Engineering, Mathematics) with at least 4 year analytics development for industrial applications (Renewable Energy is a plus) in a commercial setting applying forecasting, anomaly detection, ML (shallow and deep architectures), feedback control, and optimization, at least 4 years of experience applying analytics, descriptive statistics, feature extraction, predictive analytics with industrial datasets, data visualization and storytelling for an audience of stakeholders.
• Or Bachelor’s Degree in a STEM” major (Science, Technology, Engineering, Mathematics) with at least 8 year analytics development for industrial applications (Renewable Energy is a plus) in a commercial setting applying forecasting, anomaly detection, ML (shallow and deep architectures), feedback control, and optimization, at least 8 years of experience applying analytics, descriptive statistics, feature extraction, predictive analytics with industrial datasets, data visualization and storytelling for an audience of stakeholders.

Eligibility Requirements:

• Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.

Desired Characteristics:

• Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python).
• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment.
• Demonstrated awareness of data management methods, i.e., data governance, data integration and data warehousing
• Demonstrated awareness of real time analytics development and deployment.
• Demonstrated awareness of industry and technology trends in one or more sectors where GE operates.
• Demonstrated awareness of customer and stakeholder management and business metrics.
• Demonstrated skill at function in a team setting.
• Demonstrated awareness of critical thinking and problem -solving methods.
• Demonstrated awareness of presentation and influencing skills.
• Demonstrated awareness of how to succeed in ambiguous circumstances.

About us:

GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

*Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.