Data Scientist

We are seeking a Data Scientist with strong expertise in predictive modeling and statistical techniques to drive data-driven insights and solutions. The ideal candidate will excel in regression, classification, forecasting, and other modeling approaches, with hands-on proficiency in Python and Google Cloud Platform (GCP).

Key Responsibilities

• Develop and implement predictive models (regression, classification, forecasting).
• Apply statistical and machine learning techniques to solve business problems.
• Work with large datasets using Python libraries (NumPy, pandas, scikit-learn, PyTorch).
• Deploy and scale models on GCP infrastructure.
• Collaborate with cross-functional teams to translate data insights into actionable strategies.
• Explore and contribute to RAG (Retrieval-Augmented Generation) and Agentic AI initiatives as secondary focus areas.

Required Skills

• Strong background in predictive modeling (regression, classification, forecasting).
• Proficiency in Python and ML libraries.
• Experience with GCP for data science workflows.
• Solid understanding of machine learning algorithms and statistical methods.

Good-to-Have (Secondary)

• Exposure to RAG frameworks (LangChain, LlamaIndex).
• Familiarity with Agentic AI concepts.

Exclusions

• This role does not emphasize DevOps/MLOps, deployment engineering, or operations-heavy experience.