Dataforest are seeking a Senior Data Scientist / Tech Lead who is deeply focused on engineering and technology while looking to expand into leadership. In this role, you will focus on designing advanced AI/ML architectures, writing clean production code, and guiding a small cross-functional team of 3–4 engineers. This position offers a direct growth path to step up into a full Team Lead role as the team expands.
What you’ll do:
Hands-on Development & Architecture: Design and build AI/DS architectures, write clean, maintainable Python code, and implement advanced ML/LLM solutions.
Technical Leadership: Lead and mentor a small group of 3–4 developers, perform code reviews, and ensure engineering excellence.
R&D & Innovation: Research and evaluate new technologies (LLM, RAG, Agentic workflows) and build Proofs of Concept (PoCs) for client projects.
Process & Career Growth: Gradually take on managerial responsibilities (sprint planning, task estimation, 1-on-1s) with the explicit opportunity to grow into a Team Lead position.
You'll be a great fit if you have:
5+ years of hands-on experience in Data Science and Machine Learning.
Tech-First Mindset: Strong technical background with a primary focus on engineering, architecture, and technology execution.
Small Team Experience: Prior experience in mentoring, leading code reviews, or guiding a small team of 3–4 engineers.
AI & LLM Stack:
Hands-on expertise with LLM, RAG, LangChain, LangGraph, and modern AI frameworks.
Solid knowledge of Python, data structures, and algorithms.
Experience with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP).
Leadership Ambition: Strong interest in growing leadership and managerial skills over time.
English: Upper-Intermediate (B2).
We ensure your growth with:
Great networking opportunities with international clients and challenging tasks;
Building interesting projects from scratch using new technologies;
Personal and professional development opportunities;
Competitive salary fixed in USD;
Paid vacation and sick leave;
Flexible work schedule;
Friendly working environment with minimal hierarchy;
Team-building activities and corporate events.
