Senior Data Scientist - Generative AI/LLM

About the Role :

We are seeking a highly skilled and experienced Data Scientist to join our growing team. The ideal candidate will be a data-driven problem solver with strong expertise in machine learning, statistical modeling, Generative AI, and Large Language Models (LLMs).

The candidate will be responsible for bridging advanced algorithmic research with scalable business applications and transforming data into predictive and prescriptive intelligence.

Key Responsibilities :

• Design, build, optimize, and deploy complex machine learning models, predictive algorithms, and statistical models.

• Manage the end-to-end data science lifecycle, including exploratory data analysis, feature engineering, model development, deployment, and monitoring.

• Develop and implement Generative AI solutions to address complex business problems.

• Work with Large Language Models (LLMs), including prompt engineering, output optimization, and fine-tuning.

• Design and implement RAG (Retrieval-Augmented Generation) solutions.

• Work with Agentic AI frameworks, such as LangGraph, to build intelligent AI workflows.

• Translate complex statistical analysis into actionable business recommendations.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Physics, or a related quantitative discipline.

• 6 - 10 years of progressive experience in Data Science, with significant experience in a senior or staff-level role.

• Proven experience developing and deploying Generative AI or LLM-integrated production systems.

• Strong proficiency in Python and machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn.

• Hands-on experience with Agentic AI frameworks, such as LangGraph.

• Strong knowledge of statistical modeling, time-series modeling, experimental design/A-B testing, and causal inference.

Preferred Qualifications :

• Prior experience working within Google and PLX environments.

• Experience with GCP, Vertex AI, and MLOps frameworks.

• Knowledge of data governance, AI safety, and data security best practices.