What you can expect
As part of our team, you will take on the following responsibilities:
- You independently develop and apply statistical and ML-based models (e.g. regression models, time series analysis, classification, clustering) to solve sales-related use cases such as pipeline forecasting, churn prediction, or lead scoring.
- You design and manage Data Science and AI solutions in Python/SQL (on Azure and Snowflake) – from proof of concept to production‑ready deployment in a sales environment.
- You take full ownership of analyzing large sales data sets and derive clear, actionable recommendations for your sales stakeholders.
- You drive close collaboration with Data Engineers and Data Analysts to further develop KPIs, dashboards, and reporting.
You translate complex data into clear insights using audience‑focused data storytelling. - You support data quality assurance and validate model inputs in close alignment with Data Governance.
- You guide and support other Data Scientists, encouraging them to explore new approaches and actively fostering their professional growth.
- You proactively identify optimization potential and develop new use cases for AI and analytics within the sales domain.
- You create and deliver self‑explanatory presentations for various audiences, including senior management, and translate analytical results into impactful business insights.
- You independently develop innovative solutions using cloud‑based tools (primarily Python for prototyping) that generate tangible value for DKV Mobility.
What makes you stand out
- You bring several years of experience in Data Science and Machine Learning, including a confident command of statistical methods, regression models, time series analysis, as well as classical ML and modern AI algorithms.
- You have advanced proficiency in Python and SQL and independently develop new, value‑generating solutions in a cloud‑based environment – including GenAI use cases such as LLMs, RAG systems, or “talk‑to‑your‑data” interfaces.
- You have solid experience in building robust end‑to‑end ML pipelines and implementing MLOps standards (e.g. CI/CD, model registry, monitoring).
- Within the Sales Data Hub, you take functional ownership of predictive models (e.g. forecasting, churn models) and drive proof‑of‑concept initiatives for new models.
- Ideally, you bring experience with sales processes, CRM data, and relevant sales KPIs, as well as working with SAP and Power BI.
- You stand out through strong communication and collaboration skills, a high level of autonomy, and reliability. You present complex analyses in a clear and understandable way and actively support the development of other data scientists as a mentor.
- You are confident communicating in both German and English.
We are looking forward to your application and to applicants who enrich our diverse culture! Regardless of age, gender, origin and sexual identity and orientation, severely disabled applicants will be given preference if equally qualified. This position can be full‑time or part‑time (min. 30 h/week). Many of our employees work part‑time or in flexible working models. Please talk to us about the flexibility you need during the application process.
