Data Scientist

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. Each day, you will drive data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML). You will also showcase your expertise by building and maintaining large-scale statistical models that turn billions of data points into insights and actions.

The work model for the role is: Hybrid Hybrid

This role is contributing to the Process Automation Business in Energy Industries Division for Bangalore Location.

You will be mainly accountable for:

• Support cross-functional projects using advanced data model-ing and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Implement 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 op-erations.
• Create new product features using advanced machine learning algorithms, LLMs, and statistical techniques
  
  

Qualifications for the role

• Master’s degree in computer science, Statistics, Applied Mathe-matics, or related scientific field.
• 2-5 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 Gen AI 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.)
• Excellent written and verbal communication skills for coordinating across teams.
• Quick learner on technologies and techniques.
• Experience with cloud services (AWS, Azure, GCP) and under-standing of scaling analytics projects in cloud environments.
  
  

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."

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