Principal Data Scientist

Overview

Lead a team of Data Scientists on GenAI and machine learning work that delivers predictive and prescriptive enterprise analytics, with a focus on productized, scalable solutions across functional areas.

What you'll do

• Lead, guide and advise a team of Data Scientists and manage project timelines, resources, and deliverables
• Conceptualize, develop and implement GenAI/Agentic AI solutions at an enterprise level
• Focus on productization and scalability of GenAI/ML solutions that can be replicated across multiple markets and businesses to solve similar business problems
• Work with business groups to ensure models can be implemented as part of a delivered solution and replicated across multiple markets and countries
• Keep abreast of the latest developments in GenAI, Agentic AI, ML and data science, and proactively champion promising new methods relevant to the problems at hand
• Develop and implement statistical models, machine learning algorithms, and other advanced analytics techniques to solve complex business problems
• Conduct data analysis, data mining, and data visualization to identify patterns and insights in large datasets
• Collaborate with cross-functional teams to develop and implement data-driven solutions that improve business performance
• Present findings and recommendations to senior leadership and stakeholders in a clear and concise manner
• Be overall responsible for all Data Science related deliverables and for meeting accuracy targets
• Research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems
• Present findings to stakeholders to drive improvements and solutions from concept through to delivery

What you'll need

• Working knowledge in GenAI and Agentic AI solution development and implementation, fine-tuning open source LLMs, and contextualizing them with internal enterprise data
• Working knowledge of at least one GenAI tool (ChatGPT, Copilot etc.)
• PhD / Masters / B.Tech in computer science or computer engineering with 12+ years of demonstrated experience in the Advanced Analytics / Machine Learning field
• Strong programming skills in languages such as Python and SQL, and various open source machine learning and analytics packages
• Demonstrated history of driving and delivering analytics models and solutions
• Deep knowledge of fundamentals of machine learning, data mining and statistical modeling, with extensive experience applying these methods to real world problems
• Hands-on working experience on at least one MLOps platform such as AWS Sagemaker, Dataiku, or Data Robot
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
• Excellent communication and interpersonal skills, with the ability to work effectively in a team environment
• Strong problem-solving skills and the ability to think creatively and strategically
• Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realized in practice

Details

• Based in Bangalore, within the Advanced Analytics team