Sr Data Scientist

• Be an expert in writing code that meets standards and delivers the desired functionality using the technology selected for the project

• Drive design reviews, define interfaces between code modules, and applies existing technology to designs

• Be an expert in assessing application performance and optimizing/improving it through design and best coding practices

• Be an expert in core data structures as well as algorithms and has the ability to implement them using language of choice

• Provide guidance to a team of 5 to 7 developers with either planning and execution and/or design architecture using agile methodologies such as SCRUM

• Work with Product Line Leaders (PLLs) to understand product requirements & vision

• Need to code, do pocs, review, test perform security development lifecycle.

Education Qualification :

For roles outside USA:

• Bachelor's degree in computer science or "STEM" Majors (Science, Technology, Engineering and Math) with advanced experience.

• For roles in USA: Bachelor's degree in computer science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum years of experience 5 years.

Desired Characteristics: Technical Expertise:

• Ability to Analyze, design, and develop a software solution roadmap and implementation plan based upon a current vs. future state of the business
• Working knowledge of configuration choices and related cost implications; Experience with complex solution configurations.
• Good knowledge of Software Design Patterns, Python andJava coding principles.
• Over 5 years' experience in using OO programming. Hands-on experience in REST on top any Open-source library, SQL Database such as PostgreSQL, SQLServer, Oracle, etc.
• In depth and hands-on experience in utilising Spring Framework.
• Strong proficiency in Python, including PyTorch, TensorFlow, NumPy, Pandas, and SciPy.
• Hands-on experience with deep learning for computer vision: CNNs, Vision Transformers, segmentation, object detection, and change detection.
• Strong data science fundamentals: statistics, feature engineering, data preprocessing, model evaluation.
• Production deployment experience: Docker, Kubernetes, cloud platforms (AWS/GCP/Azure).
• Experience with end-to-end ML pipelines, MLOps practices, and scalable model serving.
• Knowledge of system design, distributed systems, and multi-tenant SaaS architectures.
• Advantage / Nice to Have- ML, Python, including PyTorch, TensorFlow, NumPy, Pandas, and SciPy. Gen AI Concepts.

Business Acumen:

Adept at navigating the organizational matrix; understanding people's roles, can foresee obstacles, identify workarounds, leverage resources and teammates.

• Understand how internal and/or external business model works and facilitate active customer engagement

• Able to articulate the value of what is most important to the business/customer to achieve outcomes Able to produce functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts.

• Possess knowledge of full solution catalog within a business unit and proficiency in discussing each area at an advanced level.

Leadership:

• Demonstrated working knowledge of internal organization

• Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel.

• Proven analytical and problem resolution skills Ability to influence and build consensus with other Information Technology (IT) teams and leadership

Personal Attributes:

• Able to work under minimal supervision
• Excellent communication skills and the ability to interface with senior leadership with confidence and clarity
• Able to work well with global teams, including time-zone flexibility
• Skilled in providing oversight and mentoring team members. Shows ability to effectively delegate work

Additional Information

Relocation Assistance Provided: Yes

Client-provided location(s): Bangalore, India

Job ID: GE_Vernova-779240890

Employment Type: FULL_TIME

Posted: 2026-07-15T18:35:32