Sobre este puesto de Service Data Scientist en GE HealthCare
Job Description Summary
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, operational research, semantic analysis, and statistical methods for finding structure in large data sets.Job Description
Roles and Responsibilities
As a Sr Data Scientist, you will 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.
In this role, you will:
• Develop 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.
• Share and discuss findings with team members.
Education Qualification
Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum years of experience 4 years
Desired Characteristics
• Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
• Demonstrated skill at data visualization and storytelling for an audience of stakeholders
Technical Expertise:
• Demonstrated awareness of data management methods
• Demonstrated awareness of real-time analytics development and deployment
Domain Knowledge:
• 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
Leadership:
• Demonstrated skill at function in a team setting
• Demonstrated awareness of critical thinking and problem solving methods
• Demonstrated awareness of presentation and influencing skills
Personal Attributes:
• Demonstrated awareness of how to succeed in ambiguous circumstances
Additional Information
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare 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.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No
