Lead Data Scientist

Role Overview

Lead the design, development, and deployment of AI, Machine Learning, and advanced analytics solutions to solve complex business challenges and drive strategic outcomes.

What You Will Do

Translate business requirements into data-driven problem statements, develop predictive, prescriptive, and Generative AI models, and drive end-to-end AI/ML project delivery.

Why It Might Be a Fit

You will be a fit if you have strong expertise in statistical modeling, supervised and unsupervised learning, and experience leading technical teams and managing AI/ML projects.

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related field.
• Minimum 7+ years of experience in Data Science, Machine Learning, and Advanced Analytics, including experience leading enterprise AI initiatives.
• Strong expertise in statistical modeling, supervised and unsupervised learning, time series forecasting, NLP, deep learning, Generative AI, and Large Language Models (LLMs).
• Advanced programming skills in Python, PySpark, SQL, and experience with Jupyter/Zeppelin Notebooks and big data platforms.
• Proven experience designing, deploying, and optimizing production-scale AI/ML models using MLOps and cloud-based AI platforms.
• Experience leading technical teams, mentoring data scientists, and managing AI/ML projects in Agile environments.
• Excellent stakeholder management, communication, and presentation skills, with the ability to translate complex technical concepts into business insights.
• Strong analytical thinking, problem-solving abilities, and a passion for driving innovation through AI, Machine Learning, and data-driven decision-making.