Data Scientist - Python

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

- 35 years of hands-on experience in applied data science, including both ML model development and GenAI-based solutioning.

- Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGBM, etc.).

- Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or similar).

- Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM outputs.

- Proficiency in SQL and data wrangling tools (pandas, NumPy).

- Experience working with REST APIs, Git, and cloud environments (AWS/GCP).

Good-to-Have Skills :

- Experience with deploying models via FastAPI, Docker, or serverless platforms.

- Knowledge of MLOps tools (MLflow, DVC) and monitoring frameworks.

- Experience with embeddings, vector databases, and similarity search.

- What You Can Expect at CoffeeBeans

- Work on real-world AI/ML problems across verticals.

- Be part of a fast-moving team delivering end-to-end ML & GenAI apps.

- Collaborate with experienced engineers and PMs in a flat and open culture.

- Opportunities to lead, mentor, and influence tech direction.