Senior Data Scientist

Tenth Revolution Group; Warszawa; On-site; PLN 180,000 - 280,000; 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 hiring 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, and a modern cloud stack including Python, AWS, Azure, and Databricks.

Qualifications

• Master’s or PhD with 5+ years in Data Science or Applied ML.
• Strong Python and SQL skills with pandas, NumPy, scikit-learn.
• Hands-on Generative AI: embeddings, prompt engineering, tool calling, RAG.
• Experience on cloud platforms such as AWS and/or Azure, Databricks or Spark.
• Solid software engineering practices: testing, docs, version control.

Responsibilities

• Translate business needs into data science problems, hypotheses, metrics and plans.
• Design and evaluate GenAI and ML solutions (LLMs, RAG, agents, embeddings).
• Build robust evaluation frameworks with offline/online testing and error analysis.
• Develop production-quality Python code with tests and docs.
• Monitor models for drift, cost, latency, and traceability.
• Collaborate with product, engineering, data and business teams.
• Communicate insights, risks and trade-offs to stakeholders.

Skills

Python

SQL

pandas

NumPy

scikit-learn

Generative AI

embeddings

prompt engineering

RAG

agents

LangChain

LangGraph

PydanticAI

classification

regression

evaluation

cloud platforms

AWS

Azure

Databricks

Spark

Git

communication

Education

Master’s or PhD

5+ years experience in Data Science or Applied ML

Tools

Databricks

Spark

LangChain

LangGraph

PydanticAI

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.