Technical Lead — Data Science (f/m/x)

• Minimum 6 years in data science with models shipped to production
• At least 2 years leading or mentoring data scientists
• Deep hands-on skills with Python, pandas, NumPy, scikit-learn, and XGBoost
• Strong statistical and machine learning foundations including experimental design and validation methodology
• Familiarity with at least one cloud/data platform and its data science tools (Azure, AWS, GCP, Snowflake, Databricks, Palantir)
• Experience in client-facing delivery: scoping, estimation, and managing technical risks
• Strong communication skills for technical and non-technical audiences
• Fluent in English and Polish
• Residency in Poland required

Nice to have:

• Production experience with Microsoft Fabric or Palantir Foundry or relevant certifications
• Experience with MLOps including CI/CD for ML, model registries, monitoring, and governance
• Exposure to Generative AI / LLM projects and ability to judge their appropriate use in data science
• Public technical presence such as conference talks, publications, or open-source contributions

• Own the technical direction of data science engagements: solution design, modeling approach, validation strategy, and delivery quality
• Lead and mentor a team of data scientists including code and methodology reviews
• Stay hands-on by prototyping approaches and contributing production-grade Python code
• Translate client business problems into scoped data science workstreams
• Set and enforce engineering standards: reproducibility, experiment tracking, testing, and documentation
• Guide platform decisions and delivery across cloud/data ecosystems including Microsoft Fabric, Palantir Foundry, Databricks, Snowflake, and Azure/AWS/GCP services
• Collaborate with AI Architects, data engineers, and client stakeholders to align technical decisions with business outcomes
• Represent the team in front of clients by presenting results, defending methodologies, and managing technical expectations

Residing in Poland required