Data Scientist

Design, develop, test, and deliver data science and AI solutions including Machine Learning, Generative AI, and Agentic AI to improve business and customer experiences.

Participate across the data science lifecycle from data collection, preprocessing, model development, evaluation, integration, to production support with moderate guidance.

Collaborate with senior data scientists and cross-functional teams while ensuring solution quality, reusable code, automation, and compliance with AI governance and security practices.

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, ML, Statistics, Mathematics, Engineering or related quantitative field.

3+ years of relevant professional experience in Data Science, Machine Learning, AI, analytics, or AI-focused software development.

Hands-on experience with data preparation, feature engineering, model development, evaluation, and contribution to at least one ML, NLP, Generative AI, LLM, RAG, or Agentic AI solution.

Proficiency in Python and SQL; practical knowledge of ML frameworks like TensorFlow, PyTorch, Hugging Face; experience with AI frameworks such as LangChain or LangGraph; familiarity with cloud, CI/CD, containers, and responsible AI practices.

Experience working independently on moderately complex AI projects with measurable impact on model quality and business outcomes.

Strong ability to collaborate with senior data scientists, engineering, and product teams, translating complex requirements into deliverables.

Deep domain exposure to modern AI technologies such as Generative AI, LLMs, Retrieval-Augmented Generation, and Agentic AI in enterprise or production environments.