Data Scientist
Core
Develop and deploy data science and Generative AI solutions (LLMs, Agentic systems) to drive business value, including building backend APIs, frontend interfaces, and maintaining deployed models.
Role type
Full-stack Data Scientist (Generative AI & LLMs)
Builds
AI-powered applications, backend APIs, frontend interfaces, and deployed data science models
Domain
Generative AI, LLMs, Data Science, Business Intelligence
Deliverable
production ML models | product features
Required skills
Python, SQL, Git, LLM concepts (RAG, embeddings, context engineering), Prompt optimization, Regression/Classification, BI tools (Tableau, PowerBI, Qlik)
Preferred skills
TypeScript, C#, AWS, Docker/Kubernetes, Web frameworks (FastAPI, Flask, React), LLM frameworks (LangChain, Hugging Face), Vector databases (Pinecone, FAISS), AI agent frameworks
Technologies
Python, pandas, scikit-learn, XGBoost, NLTK, spaCy, LangChain, LlamaIndex, Pinecone, Chroma, FAISS, FastAPI, Flask, React, Vue.js, AWS, Docker, Kubernetes, Tableau, PowerBI, Qlik, Microstrategy, R, SAS
Responsibilities
Collaborate with business users to define use cases and propose AI solutions; Research and adopt emerging AI techniques; Perform data wrangling, cleaning, and feature engineering; Support operations and maintenance of deployed models and Assistants; Develop backend APIs and frontend interfaces for AI applications; Document product changes; Implement security fixes
Seniority
Mid-Senior, hands-on IC
