Data Scientist
⚲ Warszawa
20 160 - 23 520 PLN netto (B2B)
Wymagania
- GenAI
- PySpark
- Data
- Azure
Opis stanowiska
Data Scientist – GenAI / Azure / PySpark
We are looking for a Data Scientist with strong engineering capabilities and hands-on experience in Generative AI solutions. The role combines work on modern AI functionalities (LLM, RAG, Agentic AI) with data engineering and production-grade development within the Azure ecosystem.
You will work closely with cross-functional teams to build scalable, high-quality AI and data solutions used in real business environments.
Main Responsibilities
• Develop and enhance functionalities related to Data Science and Generative AI, including:• chatbots,
• Agentic AI solutions,
• RAG / GraphRAG implementations
• Improve and optimize existing PySpark/Python code to ensure performance, maintainability, and alignment with coding standards
• Develop and maintain data pipelines using Azure technologies:
• Azure Data Factory (ADF),
• Azure Databricks,
• SQL,
• Azure Data Lake Storage (ADLS)
• Perform robust data analysis, transformation, and interpretation
• Collaborate closely with Consumption/API teams to integrate developed solutions and ensure compliance with engineering standards
• Promote coding best practices and contribute to technical improvements across the team
• Proactively identify opportunities to optimize Data Science solutions and services
Required Skills
• Strong hands-on experience with:• Python,
• PySpark,
• SQL
• Practical experience with Generative AI:
• LLMs,
• prompting techniques,
• RAG / GraphRAG,
• Agentic AI concepts
• Experience with Azure ecosystem:
• ADF,
• Databricks,
• SQL Server,
• ADLS
• Experience in data analysis, transformation, and modelling
• Experience working with shared repositories and collaborative development:
• Git / GitHub
• Understanding of scalable and maintainable data solution design
Nice to Have
• Experience with Neo4j, Cypher, knowledge graphs, or graph databases
• Experience working in Agile/Scrum environments
• Familiarity with Azure DevOps
What We’re Looking For
We are looking for someone who combines:
• strong engineering mindset,
• hands-on AI/LLM experience,
• and the ability to build scalable, production-ready solutions.
This is not a purely research-oriented Data Scientist role — we are looking for someone comfortable working close to production systems and modern cloud-based data platforms.
Additional Information
• International environment
• Long-term cooperation
• Hybrid work model
We are looking for a Data Scientist with strong engineering capabilities and hands-on experience in Generative AI solutions. The role combines work on modern AI functionalities (LLM, RAG, Agentic AI) with data engineering and production-grade development within the Azure ecosystem.
You will work closely with cross-functional teams to build scalable, high-quality AI and data solutions used in real business environments.
Main Responsibilities
• Develop and enhance functionalities related to Data Science and Generative AI, including:• chatbots,
• Agentic AI solutions,
• RAG / GraphRAG implementations
• Improve and optimize existing PySpark/Python code to ensure performance, maintainability, and alignment with coding standards
• Develop and maintain data pipelines using Azure technologies:
• Azure Data Factory (ADF),
• Azure Databricks,
• SQL,
• Azure Data Lake Storage (ADLS)
• Perform robust data analysis, transformation, and interpretation
• Collaborate closely with Consumption/API teams to integrate developed solutions and ensure compliance with engineering standards
• Promote coding best practices and contribute to technical improvements across the team
• Proactively identify opportunities to optimize Data Science solutions and services
Required Skills
• Strong hands-on experience with:• Python,
• PySpark,
• SQL
• Practical experience with Generative AI:
• LLMs,
• prompting techniques,
• RAG / GraphRAG,
• Agentic AI concepts
• Experience with Azure ecosystem:
• ADF,
• Databricks,
• SQL Server,
• ADLS
• Experience in data analysis, transformation, and modelling
• Experience working with shared repositories and collaborative development:
• Git / GitHub
• Understanding of scalable and maintainable data solution design
Nice to Have
• Experience with Neo4j, Cypher, knowledge graphs, or graph databases
• Experience working in Agile/Scrum environments
• Familiarity with Azure DevOps
What We’re Looking For
We are looking for someone who combines:
• strong engineering mindset,
• hands-on AI/LLM experience,
• and the ability to build scalable, production-ready solutions.
This is not a purely research-oriented Data Scientist role — we are looking for someone comfortable working close to production systems and modern cloud-based data platforms.
Additional Information
• International environment
• Long-term cooperation
• Hybrid work model
🔍 Dekoder Ogłoszenia
🔴
strong engineering capabilities
Oczekuje się, że będziesz nie tylko tworzyć modele, ale także budować produkcyjne, skalowalne rozwiązania z naciskiem na jakość kodu i infrastrukturę.
🔴
production-grade development
Twoja praca będzie musiała spełniać wysokie standardy jakości, wydajności i niezawodności, jak w przypadku oprogramowania produkcyjnego.
🟡
work closely with cross-functional teams
Będziesz musiał efektywnie komunikować się i współpracować z osobami z różnych działów, co może wymagać tłumaczenia złożonych koncepcji technicznych na język biznesowy.
🟡
Promote coding best practices and contribute to technical improvements across the team
Oprócz własnych zadań, będziesz odpowiedzialny za podnoszenie poziomu technicznego całego zespołu, co może oznaczać mentoring lub prowadzenie warsztatów.
🟡
Proactively identify opportunities to optimize Data Science solutions and services
Oczekuje się, że będziesz samodzielnie szukać sposobów na ulepszenie istniejących rozwiązań, a nie tylko wykonywać przydzielone zadania.