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Vacancy catalog
Dataforest
Open roleUpdated

Team Lead Data Scientist [2808]

DataforestUkraine; Europe
Work model
Remote
Experience
10+ years
Employment
Full Time
Compensation
Not disclosed
Technology signal
15 tags

Technology context

15

Parsed from the vacancy text; ordered by relevance to this role.

AI AgentsAILLMMachine LearningPythonRAGKubernetesLangGraphAlgorithmsData ScienceMLOpsLangChainDockerScalabilityCI/CD

Full listing

Role description

Dataforest is looking for a highly experienced Team Lead Data Science with a strong engineering and managerial background ( 10+ years in the domain ). In this role, you will lead and scale our AI/Data Science practice, establish robust development processes, drive pre-sales and R&D activities, and effectively manage an engineering team of 8 - 10+ members .

What you'll do

  • Team Leadership & Management: Lead and grow the Data Science department (8 - 10+ people), perform 1-on-1s, technical assessments, and performance reviews.
  • Architecture & Strategy: Define the AI/DS architecture and tech strategy, establish high-quality coding standards, and oversee code reviews.
  • Business & Pre-sales: Collaborate closely with C-level executives (CEO/CTO) to shape development processes, lead pre-sale activities, and estimate complex AI projects for international clients.
  • R&D & Solution Delivery: Drive complex AI projects from concept to production (High-Load systems, LLM/RAG solutions) and conduct R&D with cutting-edge technologies.

You'll be a great fit if you have

  • 10+ years of total experience in Data Science, Machine Learning, Data Engineering, and Software Engineering.
  • Management Experience: Proven track record of leading teams of 8+ engineers (Data Scientists, ML Engineers).
  • AI & LLM Expertise: Deep practical knowledge of the modern AI stack: LLM, RAG, LangChain, LangGraph , and AI Agents.
  • Core Tech Stack:
  • Mastery of Python , algorithms, and data structures.
  • Proven experience in building scalable ML/DS architectures and high-load production systems.
  • Solid understanding of MLOps, Docker, Kubernetes, and CI/CD pipelines.
  • Business Analysis & Pre-sales: Demonstrated capability in project estimation, client communication, and translating complex business requirements into technical solutions.
  • English: Upper-Intermediate (B2+) or higher for fluent communication with international clients.

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.