Sr Data Scientist

Requirements

• 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 question

Benefits

Additional Information

It's not just about your career or job title... It's about who you are and the impact you will make on the world. Because whether it's for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you're in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. Who are we? Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress and unlocks our customers' potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! 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 team's 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?

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