Job Location: Bangalore
Job Description Summary
Job Description Summary
The Staff Data Scientist will work in a team addressing statistical, machine learning and data understanding problems in a commercial product development environment. You will have exposure to large datasets, wide & mixed data , feature engineering and transformation, statistical & AI model development. In this role, you will contribute to the design, development and deployment of analytic models for in-situ monitoring of Additive machines and the process
Job Description
Roles and Responsibilities
In this role, you will:
- 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
- Develop, verify, and validate analytics to address customer needs and opportunities.
- Work as part of a cross-functional team 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.
Education Qualification
Bachelor’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with significant experience.
Desired Characteristics / Technical Expertise:
- Demonstrated skill in data management methods and analytic scaling
- Demonstrated skill in prescriptive analytics and analytic prototyping
- Demonstrated skill in solutions integration
Domain Knowledge:
- Demonstrated skill in one or more industry sectors where GE operates
- Demonstrated skill in defining and delivering customer value
Leadership:
- Demonstrated expertise working in team settings in various roles
- Demonstrated expertise in critical thinking and problem solving methods
- Demonstrated expertise in presentation and communications skills
Personal Attributes:
- Demonstrated skill in serving as a change agent
- Demonstrated skill in working in ambiguous environments
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.
www.ge.com
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