Data Scientist

About the Role

Key Responsibilities

• Architect and drive the design, development, and deployment of scalable ML/AI solutions.
• Lead data science teams through complete project lifecycles - from ideation to production.
• Define standards, best practices, and governance for AI/ML solutioning and model management.
• Collaborate with data engineering, MLOps, product, and business teams.
• Oversee integration of data science models into production systems.
• Evaluate and recommend ML tools, frameworks, and cloud-native solutions.
• Guide feature engineering, data strategy, and feature store design.
• Promote innovation with generative AI, reinforcement learning, and graph-based learning.

Requirements

• Proficiency in Python, scikit-learn, TensorFlow, PyTorch, HuggingFace.
• Strong BFSI domain knowledge.
• Experience with NLP, LLMs (GPT), and deep learning.
• Hands-on experience with MLOps pipelines and tools.
• Experience with graph analytics tools such as Neo4j, TigerGraph, NetworkX.
• Strong cloud architecture experience in AWS, GCP, or Azure.
• Knowledge of Spark, PySpark, Scala.
• Experience leading Centers of Excellence (CoEs) or data science accelerators.
• Open-source contributions or published research.

Nice to Have

• Experience with Spark, PySpark, Scala.
• Experience leading CoEs or data science accelerators.
• Open-source contributions or published research.

Benefits & Perks

• Salary Range- $155,000-$180,000 a year