About Us: GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
Role Summary: The Principal Data Analytics Scientist will guide, lead, and work in teams as technical domain expert 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, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
Essential Responsibilities: •Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions •Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value •Guide junior Data Scientists to develop, verify, and validate analytics to address customer needs and opportunities. •Provide technical project and program oversight to ensure appropriate technical rigor is applied to Data Science engagements •Guide cross-functional teams to translate algorithms into commercially viable products and services. •Guide and otherwise contribute to technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. •Partner with data engineers on data quality assessment, data cleansing and data analytics efforts •Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. •Communicate methods, findings, and hypotheses with stakeholders.
Qualifications/Requirements: •Ph.D. in Engineering/Sciences discipline plus 10 years analytics development for industrial applications in a commercial/industrial setting •Demonstrated expertise in translating customer need into data and analytics requirements •Demonstrated expertise in the design, development, verification, and validation of descriptive, applied, predictive, and prescriptive analytics for industrial applications •Demonstrated expertise in one or more development tools and languages (e.g., R, Python, Spark) •Demonstrated expertise in one or more industry sectors where GE operates (i.e., Aviation, Oil & Gas, Power, Transportation, Mining, Healthcare)
Desired Characteristics: •Demonstrated skill in data management methods and analytic scaling •Demonstrated skill in solutions integration •Demonstrated expertise in delivering professional services •Demonstrated and externally recognized expertise in data science technology and industry trends •Demonstrated expertise in technical and/or business consulting •Demonstrated expertise in critical thinking and problem solving methods •Demonstrated expertise in influencing, presentation and communications skills •Demonstrated expertise in delivering business value in ambiguous environments
We are in the process of transitioning to an improved job application system and in the interim we are operating with two systems. Have your Job ID ready (from the email you received when you applied) to log in and check your application status.
Click the appropriate button. If you don't know your job ID, you can still check your status: use both buttons.