Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Ratingen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop end-to-end data products and transform innovations into stable, scalable systems with measurable business impact by creating and optimizing ML models.
Job Technologies
Your role in the team
- You develop highly effective Data Products end-to-end—with a clear production-first mindset—and translate innovations into stable, scalable systems with real business impact.
- You actively drive the strategic development of the AI Insights roadmap, identify new potentials for AI-supported process changes, and create long-term, measurable value.
- You develop, refine, and validate production-ready ML models (e.g., for our Next Best Action engine) and ensure they meet the highest infrastructure, performance, and security standards.
- You work closely with ML engineers and Data Engineers to establish seamless deployments, monitoring concepts, and automated retraining pipelines.
- You transform complex algorithmic results into clear, compelling stories that provide stakeholders with concrete action recommendations and influence decision-making at the executive level.
- You combine technological curiosity with responsibility, evaluate new AI trends for productive deployment, and ensure that all solutions meet the highest standards of quality, data protection, security, and ethical AI.
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Our expectations of you
Education
- You hold a master's degree in Economics, Mathematics, Statistics, Computer Science, or a related quantitative field.
Qualifications
- You have a deep understanding of statistical methods and apply them confidently in an agile, fast-paced environment.
- You think in terms of products, not experiments — topics like model versioning, testing, and performance monitoring are second nature to you.
- You present complex content clearly and appropriately for the target audience, and communicate fluently in English; German skills are a plus.
Experience
- You have at least 3 years of experience in the data science environment and have a proven track record of successfully transitioning models from the lab into production applications.
- You are proficient in Python and SQL and have practical experience with Azure services as well as working on Snowflake.
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What we offer
- This position can be filled on a full-time basis or in near-full-time part-time (at least 30 hours/week; excluding working students and explicitly advertised part-time positions).
- DKV Mobility is looking for the best talents and knows that they are not always available on a full-time basis.
- Many of our employees work part-time or in flexible working models.
- Please discuss with us during the application process the flexibility you require.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
More net
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
DKV Euro Service GmbH + Co KG
As a leading European mobility service provider, we devote ourselves to efficient mobility solutions for controlling commercial fleets. Our portfolio includes smart products and services around refueling, alternative propulsion options, toll handling, liquidity benefits and innovative connected services.
Description
- Founding year
- 1934
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Logistics, Transportation
Data Scientist - AI Insights
- Location
- Ratingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
