Requirements

Please note that this position requires work authorization for Germany.

Language: English - Fluent (C1)

• Real seniority in data science, ML, and analytics with real-world data measured by impact, ownership, and drive for improvement, not just years on paper.
• A degree in a quantitative field (computer science, statistics, mathematics, physics, engineering, or similar).
• A deep curiosity about data and the processes behind it, with strong problem-solving and analytical instincts.
• Proven experience in data analysis, statistical modeling, and machine learning.
• Expert-level Python, SQL, data visualization, and Git.
• Experience with cloud computing, data warehouses, and NoSQL databases (we run AWS, Aurora PostgreSQL, and Redshift, with Tableau as our BI layer).
• Strong command of data manipulation libraries (Pandas, NumPy) and ML frameworks (Scikit-Learn, PyTorch).
• A collaborative, cross-functional working style.
• Excellent written and spoken English (C1).
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Activities

• Analyze large datasets to surface trends, patterns, and anomalies across our parking and payment ecosystem.
• Develop data-driven hypotheses that drive revenue growth and flag risks and opportunities early directly impacting millions in revenue.
• Continuously monitor and refine revenue-enhancing strategies.
• Extend our product with statistical and analytical tooling that helps B2B customers manage their parking areas smarter.
• Deliver insights on user behavior, product usage, and customer satisfaction to steer product decisions.
• Partner with our data engineers to ensure the data you need is modeled, accessible, and trustworthy.
• Build reporting and dashboards that let business teams self-serve on insights.
• Ground your models and analyses in validated data you can stand behind.
• Build data pipelines for collection, processing, and transformation.
• Stay ahead of developments in data science, ML, and applied AI, and help lift the team through best practices and mentorship.
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