Data Scientist / Machine Learning Engineer at Remedy Product Studio building data infrastructure and AI features for digital products. Collaborating on ETL pipelines and data-driven insights.
Responsibilities
Design and maintain ETL pipelines using Airbyte or similar tools
Work with Snowflake, PostgreSQL, and Supabase for data modeling, transformation, and integration
Build and query graph databases with Neo4j using Cypher
Develop and deploy LLM-based modules and RAG pipelines using frameworks like LangChain
Integrate and expose data via GraphQL and REST APIs
Collaborate with cross-functional teams to define data requirements and support analytics and machine learning initiatives
Requirements
Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
Excellent SQL skills and experience with Snowflake and Postgres
Experience with ETL/ELT processes and tools like Airbyte
Knowledge of Neo4j and Cypher for graph data modeling
Familiarity with LLM frameworks (LangChain, RAG)
Understanding of GraphQL and REST API integrations
Nice to have: experience with Supabase and data visualization or BI tools
Nice to have: experience with Vercel
Benefits
Vacation leave of 20 working days
Paid Medical insurance
4 sick days per year
Sport compensation
Career and professional growth
Access to senior engineers for help and mentorship
English classes with on-staff teachers
English clubs where you can polish your skills together with teammates
Paid courses and certificates to raise professional skills
Possibility for working remote or in Warsaw office
Macbook provided by company as a working environment
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