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Senior Data Scientist - Data Hub Sales (m/f/d)

Düsseldorf

About the Job

As a key growth accelerator, A11 partners with Europe's most ambitious startups and scaleups, corporates and SMBs to connect them with top-tier talent ready to make an impact.

We're looking for an experienced Senior Data Scientist (m/f/d) to join and drive the Data Science and AI strategy within the Sales Data Hub at a Leading European Mobility Company.

As a Senior Data Scientist, you'll build and scale end-to-end ML solutions from proof of concept to production that generate measurable impact across the sales organization.

A Leading European Mobility Company enabling businesses to fuel, charge, and manage their fleets across 42 countries.

In this role, you’ll:

  • Independently develop and apply statistical and ML-based models (regression, time series, classification, clustering) for sales use cases such as pipeline forecasting, churn prediction, and lead scoring
  • Design and manage Data Science and AI solutions in Python and SQL on Azure and Snowflake, from proof of concept through to production deployment
  • Take full ownership of large sales dataset analysis and translate findings into clear, actionable recommendations for sales stakeholders
  • Drive collaboration with Data Engineers and Data Analysts to develop KPIs, dashboards, and reporting delivering complex insights through audience-focused data storytelling
  • Own predictive models (forecasting, churn) within the Sales Data Hub and lead proof-of-concept initiatives for new model development
  • Build robust end-to-end ML pipelines and implement MLOps standards including CI/CD, model registry, and monitoring
  • Mentor and guide other Data Scientists, fostering a culture of exploration and professional growth
  • Proactively identify optimization potential and develop new AI and analytics use cases within the sales domain

Your Profile: 

  • Several years of experience in Data Science and Machine Learning, with a strong command of statistical methods, regression models, time series analysis, and modern AI algorithms
  • Advanced proficiency in Python and SQL, with hands-on experience building value-generating solutions in cloud-based environments
  • Proven experience with GenAI use cases such as LLMs, RAG systems, or "talk-to-your-data" interfaces
  • Solid track record building robust ML pipelines and implementing MLOps standards
  • Experience with sales processes, CRM data, and relevant sales KPIs is a strong plus; familiarity with SAP and Power BI is welcome
  • Strong communicator who can present complex analyses clearly to diverse audiences, including senior management
  • Natural mentor with a high level of autonomy, reliability, and a collaborative mindset
  • Fluent in both German and English

Please note that this position is based in Ratingen

Benefits and Perks:

  • Market-aligned compensation with a function-dependent bonus scheme and an attractive corporate pension plan (30% employer-financed)
  • Hybrid working: up to 40% remote from anywhere in Germany, plus up to 20 workation days per year across Europe
  • State-of-the-art workplaces, natural retreats, parent-child offices, and underground parking with e-car and e-bike charging
  • Fuel and EV charging discounts for up to 2 private vehicles, plus a leasing subsidy for two JobBikes and a subsidised job ticket
  • 30 vacation days plus special leave days
  • Employee counselling, family services, health checks, and regular health days and events
  • High-potential development programs, LinkedIn Learning, and career growth opportunities across all paths
  • Community events, including summer parties and Corporate Volunteering days 

If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you!

Our Commitment to Diversity and Inclusion

A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.

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