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GE Transportation

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4.3

based on 169 Reviews

58 GE Transportation Jobs

Sr Data Scientist

GE Transportation

4.3

based on 169 Reviews

6-8 years

Bangalore / Bengaluru

1 vacancy

Sr Data Scientist

GE Transportation

posted 7d ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Python SQL Information Technology Mining Engineering Analytical Chemistry

+ 4 more

Job Description

Who will you be working with?

This role is an integral part of the Wabtec IT Data & Analytics (DnA) Team. As a Sr. Data Scientist, you will be a key member of the DS / AI Development team, working closely with both Wabtec IT DNA team and Business stakeholders to provide solutions for complex data challenges by delivering predictive, prescriptive models and AI / Gen AI solutions to the needs of various Wabtec Business Units and Functions.

How will you make a difference?

We are seeking a collaborative and highly motivated Sr. Data Scientist to extend our teams success and enhance customer experience through impactful AI and machine learning solutions. As a member of the Wabtec IT Data & Analytics (DnA) Team, you will be responsible for:

Participate in all stages of agile / scrum to design, develop, test, deploy and support data science / AI models, which are integrated with different applications. Apply new ideas and follow data flow patterns that can deliver products to show ease of use, faster and smarter ways.
Works closely with the TPM of the scrum team to service the needs of the Business teams to deliver solutions. Collaborate well with the DnA team & with cross-functional business users.
Key responsibility is the development of AI based solutions for different use cases based on business requirements.
Deliver on data science / AI projects, ensuring they meet business requirements and deliver on time
Proven ability to work independently with cross functional teams on medium scale projects and handling business interactions
Align data flows, design, architecture with business requirements and prepare data for data science models
Mentor interns or assist data engineers & peers on technical competencies if required.
Generating information and insights from data sets and identifying trends & patterns, preparing reports for quick validations.
Research and experiment with new AI tools, frameworks, and techniques as needed

What do we want to know about you?

You must have:

The minimum qualifications for this role include:

B.Tech or M.Tech in Information Technology (IT), Computer Science, or Engineering from an accredited college or university
6+ years of mandatory experience in Data Science, AI / ML and Python.
Demonstrable expertise in the area of Machine Learning, Deep Learning, Image Processing, NLP, predictive & forecasting models.
Hand-on experience on complete ML pipeline, data preprocessing, training and deployment of ML models.
Strong programming skills in Python, LLM, ML Flow, Deep Learning, PyTorch /TensorFlow, AWS AI tech-stack (Bedrock Services, Foundation models, Textract, Kendra etc.) to build/manage and analyze large datasets
Good understanding or experience of working with AWS Bedrock.
Strong experience with advance SQL and good to have experience in Pyspark.
Good understanding or experience of working in AWS/any other cloud platform.
Good to have experience on Dataiku but optional.
Exposure to Industrial engineering domain is preferred
Flexible and Quick learner
Critical thinking, decision making, troubleshooting and problem-solving skills
Uses teamwork skills to achieve goals, solve problems, and manage conflict
Ability to support multiple initiatives simultaneously and work in a fast-paced environment
Excellent verbal & written communication skills, including communicating technical issues to non-technical audiences

We would love it if you had:

Highly self-motivated with the ability to work independently, passionate about business & attention to details
Creative, willing to understand, asking questions
Ability to acquire any specialized domain knowledge required to be more effective in all required activities
Ability to operate in a fast-paced environment with a sense of urgency, ownership, and accountability
Adaptable/Flexible: being open to change in response to new information, different or unexpected circumstances, and having the ability to navigate ambiguous situations
Ability to break down problems and estimate time for development tasks
Ability to make basic technology choices based on experience
Effectiveness and Efficiency, and Accountability
Experience in analytical storytelling and stellar communications skills

What will your typical day look like?

Collaborate daily with D&A- AA & AI scrum team and interact often with Architecture team for reviews and technical recommendations.
Engage with internal stakeholders and the DNA team to understand business needs, provide project updates, and align AI initiatives with deliverables
Work closely with business stakeholders and the DS Manager to define project goals and success criteria for the assigned project(s)
Design, develop, and deploy AI & Generative AI solutions on the AWS Data Lake platform.
Conduct data preprocessing, analysis, and model development, including fine-tuning LLMs, image processing, NLP, and algorithm optimization for cost-effective, high-performance solutions.
Test and measure the impact of new AI/GenAI features and analyze experiment results to provide data-driven recommendations.
Explore data trends, identify insights, and integrate AI-powered solutions into business workflows for improved efficiency.