Job
- Level
- Senior
- 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 ML models, analyze large sales datasets, and provide actionable insights, KPIs, and dashboards while mentoring other data scientists and creating innovative solutions.
Job Technologies
Your role in the team
- You independently develop and apply statistical and ML-based models (e.g., regression models, time series analyses, classification, clustering) for sales-relevant issues such as pipeline forecasting, churn prediction, or lead scoring.
- You develop and maintain Data Science and AI solutions in Python/SQL (on Azure and Snowflake) - from proof of concept to production deployment in the sales context.
- You are responsible for independently analyzing large volumes of sales data and deriving concrete action recommendations for your sales stakeholders.
- You coordinate close collaboration with Data Engineers and Data Analysts and jointly develop KPIs, dashboards, and reports.
- You prepare complex data in an understandable manner and utilize audience-appropriate data storytelling.
- You assist in ensuring data quality and validate model inputs in close coordination with Data Governance.
- You mentor and support other Data Scientists, motivate them to explore new avenues, and promote their professional development.
- You proactively identify optimization potentials and develop new use cases for AI and analytics solutions in sales.
- You create and deliver self-explanatory presentations for various target groups, including management, and translate analytical results into clear business insights.
- You independently develop innovative solutions using cloud-based tools (primarily Python in prototyping) that create a tangible added value for DKV Mobility.
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Our expectations of you
Qualifications
- You have an advanced command of Python and SQL and independently develop new value-adding solutions in a cloud-based environment - including GenAI use cases such as LLMs, RAG systems, or "Talk-to-your-Data" interfaces.
- In the Sales Data Hub, you take professional responsibility for forecasting models, churn models, etc., and drive proof-of-concepts for new models.
- You demonstrate strong communication and collaborative skills, high independence and reliability, present complex analyses in an understandable manner, and actively support the development of other Data Scientists as a mentor.
- You are confident in communication in German and English.
Experience
- You bring several years of experience in Data Science & Machine Learning, including a solid command of statistical methods, regression models, time series analysis, as well as classical ML and modern AI algorithms.
- You have extensive experience in building robust end-to-end ML pipelines and implementing MLOps standards (e.g., CI/CD, Model Registry, Monitoring).
- Ideally, you have experience with sales processes, CRM data, and relevant sales KPIs, as well as with SAP and Power BI.
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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
