Peter Park is digitizing parking across Germany, Austria, Switzerland, and Italy, using computer vision to replace gates and deliver data-driven services. We are seeking a Senior Data Scientist to turn our data into decisions and revenue. You will work closely with technical leadership to identify patterns that matter, build scalable tools, and shape our product with evidence. Responsibilities include analyzing large datasets to surface trends, developing data-driven hypotheses to drive revenue growth and flag risks, monitoring and refining revenue-enhancing strategies, extending the product with statistical tooling to help B2B customers manage parking smarter, delivering insights on user behavior and product usage to steer decisions, partnering with data engineers to ensure data is modeled, accessible, and trustworthy, building dashboards for self-serve insights, grounding analyses in validated data, building data pipelines, and staying ahead of developments in data science with mentorship.
Peter Park is digitizing parking across Germany, Austria, Switzerland, and Italy, using computer vision to replace gates and deliver data-driven services. We are seeking a Senior Data Scientist to turn our data into decisions and revenue. You will work closely with technical leadership to identify patterns that matter, build scalable tools, and shape our product with evidence. Responsibilities include analyzing large datasets to surface trends, developing data-driven hypotheses to drive revenue growth and flag risks, monitoring and refining revenue-enhancing strategies, extending the product with statistical tooling to help B2B customers manage parking smarter, delivering insights on user behavior and product usage to steer decisions, partnering with data engineers to ensure data is modeled, accessible, and trustworthy, building dashboards for self-serve insights, grounding analyses in validated data, building data pipelines, and staying ahead of developments in data science with mentorship.
senior-level experience in data science, ML, and analytics with demonstrated impact; degree in a quantitative field; strong problem-solving and analytical instincts; proven experience in data analysis, statistical modeling, and ML; expert Python, SQL, data visualization, and Git; experience with AWS, data warehouses, and NoSQL databases (Aurora PostgreSQL, Redshift); Tableau; proficiency with Pandas, NumPy, Scikit-Learn, PyTorch; collaborative cross-functional style; excellent English (C1). Work setup: Hybrid (3 days in the office / 2 days remo
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senior-level experience in data science, ML, and analytics with demonstrated impact; degree in a quantitative field; strong problem-solving and analytical instincts; proven experience in data analysis, statistical modeling, and ML; expert Python, SQL, data visualization, and Git; experience with AWS, data warehouses, and NoSQL databases (Aurora PostgreSQL, Redshift); Tableau; proficiency with Pandas, NumPy, Scikit-Learn, PyTorch; collaborative cross-functional style; excellent English (C1). Work setup: Hybrid (3 days in the office / 2 days remo
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