Company: GE Vernova | Position: Data Scientist | CTC: Up to 22 LPA | Locations: Bengaluru | Type: Full-Time, On-Site
Company
Position
CTC
Location
GE Vernova
Data Scientist
Up to 22 LPA
Bengaluru
About Company
Job Description
As a Data Scientist, you will be part of a data science and cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams may typically include statisticians, computer scientists, software developers, engineers, services teams, solution architects, software architects, product managers, and end users, working in concert with partners in GE business units. Potential application areas include, but may not be limited to, remote monitoring and diagnostics across infrastructure and industrial sectors, process and operations optimization and asset management.
Education & Eligibility Criteria
Bachelor’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with basic experience.
Roles and Responsibilities
- • Develop analytics within well-defined projects to address customer needs and opportunities.
• Work alongside data scientists, 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.
Skills & Qualification
- • Demonstrated skill in the use of one or more analytic software tools or languages (minimum: Python, optional: R)
• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
• Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets
• Demonstrated awareness of using/applying/deploying GENAI in industrial settings
• Demonstrated awareness of Advanced Process Control & Process Optimization in industrial settings.• Demonstrated awareness of feature extraction and real-time analytics methods
• Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration
How to Apply for the GE Vernova - Data Scientist role?
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Disclaimer
Kindly be advised that the details presented above are sourced from the official GE Vernova career page website. For the most current and accurate information, we recommend visiting the official GE Vernova hiring site.