Data Scientist

About CoffeeBeans Consulting

CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery—from exploration and modeling to GenAI application development and deployment.

Role Overview

As an Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistants.

This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI applications.

Key Responsibilities

ML & Data Science

Own and deliver ML model development, tuning, and evaluation for client-facing projects.

Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervision.

Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectations.

Contribute to experimentation frameworks and model reproducibility best practices.

GenAI & LLM Applications

• Design and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Llama).
• Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI systems.
• Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context providers.
• Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app development.

Product & Engineering Collaboration

Team & Growth

Mentor junior data scientists and review code / model design.

Stay current with advances in ML and GenAI to inform solution design and share knowledge internally.

Participate in discovery and solutioning phases with clients alongside tech leads and PMs.

Required Skills & Qualifications

Good-to-Have Skills

What You Can Expect at CoffeeBeans