Mid - Level Engineering Data Scientist for Boeing's Global Services Analytics team. Creating analytics models and collaborating on health management solutions for KC - 46 platform.
About the role
- 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
- Work environment based on collaboration and teams
- Team building events on team and group level
- Sponsored company outings and social events
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
AI expert managing predictive modeling and statistical validation for TEHORA. Integrating predictive models into API architecture and producing performance metrics.
Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
EU
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.
Senior Data Science Advisor providing data for business decisions and developing solutions. Role involves advanced analytics in the property and casualty insurance industry with a focus on model development.
Cientista de Dados Sênior na Deroyque, integrando a equipe e dominando o ciclo completo de Machine Learning. Transformando dados em decisões inteligentes em ambiente híbrido.
Head of Data leading the data function at Stay22, enhancing data governance and monetization strategies.
Data Scientist at LawDepot optimizing the Checkout experience through data - driven decisions. Involves statistical analysis, experiment design, and collaboration to enhance revenue growth.