Senior Data Scientist

Tenth Revolution Group; Warszawa; On-site; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Private medical care

Flexible benefits

Insurance

Pension contributions

Home-office support

Additional paid holidays

Job summary

Tenth Revolution Group is seeking a Senior Data Scientist to join an international ML & AI team. You will turn complex business problems into measurable outcomes by combining Generative AI, classical ML, experimentation, and rigorous evaluation.

You’ll work with LLMs, embeddings, RAG, agentic workflows, classical ML, and optimization across a modern cloud stack including Python, AWS, Azure, and Databricks.

Qualifications

• Master’s or PhD in Data Science or related field.
• 5+ years of experience in Data Science or Applied ML.
• Strong Python and SQL skills; pandas, NumPy, scikit-learn experience.
• Hands-on Generative AI experience: embeddings, prompt engineering, tool calling, RAG, agent frameworks.

Responsibilities

• Translate business needs into data science problems, hypotheses, metrics, and evaluation plans.
• Design and evaluate GenAI and ML solutions, including LLMs, RAG, agents, embeddings, forecasting, classification, and regression.
• Build robust evaluation frameworks, including offline/online testing, human review, hallucination checks, groundedness checks, and error analysis.
• Develop production-quality Python code with testing, documentation, version control, and reproducibility.
• Monitor models and AI systems for drift, performance, cost, latency, and traceability.
• Collaborate with product, engineering, data, and business teams to deliver production-ready solutions.
• Communicate insights, risks, trade-offs, and recommendations clearly to stakeholders.

Skills

Python

SQL

Pandas

NumPy

scikit-learn

Generative AI

LLMs

Experimentation

Stakeholder communication

Education

Master’s or PhD in Data Science or related field

Tools

LangChain

LangGraph

PydanticAI

Databricks

Spark

Git

Job description

We’re hiring a Senior Data Scientist to join an international Machine Learning & AI team. You’ll turn complex business problems into measurable outcomes by combining Generative AI, classical machine learning, experimentation, and rigorous evaluation.

You’ll work with LLMs, embeddings, RAG, agentic workflows, classical ML, and optimization across a modern cloud stack including Python, AWS, Azure, and Databricks.

Key Responsibilities

• Translate business needs into data science problems, hypotheses, metrics, and evaluation plans.
• Design and evaluate GenAI and ML solutions, including LLMs, RAG, agents, embeddings, forecasting, classification, and regression.
• Build robust evaluation frameworks, including offline/online testing, human review, hallucination and groundedness checks, and error analysis.
• Develop production-quality Python code with testing, documentation, version control, and reproducibility.
• Monitor models and AI systems for drift, performance, cost, latency, and traceability.
• Collaborate with product, engineering, data, and business teams to deliver production-ready solutions.
• Communicate insights, risks, trade-offs, and recommendations clearly to stakeholders.

Requirements

• Master’s or PhD and 5+ years of experience in Data Science or Applied ML.
• Strong Python and SQL skills; experience with pandas, NumPy, and scikit-learn.
• Hands‑on experience with Generative AI, including embeddings, prompt engineering, tool calling, RAG, and agent frameworks such as LangChain, LangGraph, or PydanticAI.
• Strong foundation in classical ML, model validation, metrics, and experimentation.
• Experience with cloud platforms such as AWS and/or Azure, plus Databricks or Spark.
• Good software engineering practices, including testing, documentation, and Git-based workflows.
• Strong analytical, problem-solving, and stakeholder communication skills.

Benefits may include private medical care, flexible benefits, insurance, pension contributions, home-office support, and additional paid holidays.