Senior Data Scientist

At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. Write the next chapter of your ABB story.

This position reports to

Senior Manager - AI & Advanced Analytics

Your role and responsibilities

In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas in alignment with business stakeholders. Each day, you will build and maintain large-scale statistical models that turn billions of data points into insights and actions. You will also showcase your expertise by driving data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML). The work model for the role is: Hybrid #LI Hybrid This role is contributing to the Process Automation Business Energy Industries Division in Bangalore. You will be mainly accountable for: - Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. -Work on a wide range of projects, building large-scale distrib-uted fine tuning, deploying LLMs on GPU instances for real-time use cases, designing robust, secure infrastructure. - Build, develop, and maintain analytical models that support key business decisions. - Oversee the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations. - Create new product features using advanced machine learn-ing algorithms, LLMs, and statistical techniques - Engage with stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.

Qualifications for the role

• - Master’s degree in computer science, Statistics, Applied Mathematics, or related scientific field.
• 5+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments.
• Relevant experience with Large Language Models, NLP, large-scale systems and data sets, deep learning, or adjacent fields.
• Well versed with production data pipelines and applications
• Strong problem-solving skills and passionate about GenAI to contribute to user-facing product
• Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems
• Command using statistical computer languages (R, Python, SQL, etc.), SQL, Spark to manipulate data and draw insights from large data sets.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, time series, statistical tests, and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• Agile to learn and master new technologies and techniques.
• Experience with cloud services (AWS, Azure, GCP) and understanding of scaling analytics projects in cloud environments.
• Must have deployed AI/ML models in a cloud environment/Enterprise system.

More about us

"The Energy Industries Division serves a wide range of industrial sectors, including hydrocarbons, chemicals, pharmaceuticals, power generation and water. With its integrated solutions that automate, digitalize and electrify operations, the Division is committed to supporting traditional industries in their efforts to decarbonize. The Division also supports the development, integration and scaling up of new and renewable energy models. The Division’s goal is to help customers adapt and succeed in the rapidly changing global energy transition. Harnessing data, machine learning and artificial intelligence (AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency, as well as reduce risk, operational cost and capital cost, while minimizing waste for customers, from project start-up and throughout the entire plant lifecycle." We value people from different backgrounds. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStory "It has come to our attention that the name of ABB is being used for asking candidates to make payments for job opportunities (interviews, offers). Please be advised that ABB makes no such requests. All our open positions are made available on our career portal for all fitting the criteria to apply. ABB does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection to recruitment with ABB, even if is claimed that the money is refundable. ABB is not liable for such transactions. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning"