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 Overvi

ewAs an L2 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 assistant

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

s.

Key Responsibili

tiesML & Data Sci

• enceOwn and deliver ML model development, tuning, and evaluation for client-facing proje
• cts.Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervis
• ion.Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectati
• ons.Contribute to experimentation frameworks and model reproducibility best practi

ces.
GenAI & LLM Applica

• tionsDesign and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Ll
• ama).Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI sys
• tems.Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context provi
• ders.Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app develop

ment.
Product & Engineering Collabo

• rationCollaborate with engineering teams to take models from experimentation to deployment (batch/real-
• time).Assist in building APIs and data pipelines needed for productionizing m
• odels.Contribute to technical documentation, explainability reports, and client presenta

tions.
Team &

• GrowthMentor junior data scientists and review code/model
• design.Stay current with advances in ML and GenAI to inform solution design and share knowledge inte
• rnally.Participate in discovery and solutioning phases with clients alongside tech leads a

nd PMs.

Required Skills & Quali

• ficationsBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a relat
• ed field.3–5 years of hands-on experience in applied data science, including both ML model development and GenAI-based sol
• utioning.Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGB
• M, 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 SkillsExperience with deploying models via FastAPI, Docker, or serverless
• platforms.Knowledge of MLOps tools (MLflow, DVC) and monitoring
• frameworks.Experience with embeddings, vector databases, and similar

ity search.

What You Can Expect a

• t CoffeeBeansWork on real-world AI/ML problems acro
• ss 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 te

ch direction.

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.