Data Scientist
In short
Data Scientist needed for automotive industry project in Warsaw. Focus on anomaly detection, data pipelines, and analytics. Requires Python, SQL, Spark, and distributed systems expertise. Remote work with occasional German trips. B2B contract, 130-150 PLN/h.
AI-written summary based on the listing content.
In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Data Scientist to join a project within the automotive industry. In this role, you will focus on preventive anomaly exploration, contributing to the design and development of advanced data-driven solutions supporting quality and decision-making processes. You will work in a modern, distributed data environment and collaborate with cross-functional teams across business and IT domains.
Project information:
Type of project: IT Services
- Office location: Warsaw
- Work model: 100% remote; possible business trip to client’s office in Germany – 1x per quarter
- Budget: 130-150 PLN net/ h - b2bProject length: long-termOnly candidates with citizenship in the European Union and residence in Poland
- Start date: ASAP (depending on candidate’s availability)
Project scope:
Support end-to-end QDCC data products, including data pipelines, analytics, and reporting
- Analyze quality, process, and product data with a focus on identifying anomalies proactively
- Develop analytical models, KPIs, and data-driven insights for quality improvement
- Translate analytical findings into rule-based monitoring concepts
- Contribute to the implementation of functional and non-functional data requirements
- Prepare management-ready visualizations and reports
- Ensure code, data product documentation, compliance, and IT security standards (aligned with company’s standards)
Actively participate in SCRUM / SAFe ceremonies
Collaborate closely with Product Owners, Data Engineers, and business stakeholders (Quality, Development, Operations)
Competence demands:
Experience in data analytics, data science, or related roles
- Strong expertise in Python and SQL querying
- Hands-on experience with distributed systems and modern data architectures
- Solid knowledge of Apache Spark (batch processing; streaming is a plus)
Experience in data modeling and performance optimization, (Apache Iceberg is a plus)
Familiarity with Cloudera-based data platforms and tools like GitLab, Confluence, JiraProven ability to deliver clear, executive-level visualizations and reports
Very good English skills, knowledge of German will be a plusWe offer:
Remote working model with possible business trip to client’s office in Germany – 1x per quarter
Collaboration with senior engineers and cross-functional AI teams
Dynamic and innovation-driven engineering environmentJob agreement based on b2bPrivate medical care with dental care (covering 70% of costs)
Multisport card (also for an accompanying person)
Life insurance
| Published | 2026-08-25 |
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