Public summary
Join a growing tech company in Munich revolutionizing digital parking solutions across Europe using advanced computer vision and data-driven insights. As a Senior Data Scientist, you will analyze large datasets to uncover trends and opportunities, develop models and tools that drive revenue growth, and collaborate with engineering and product teams to optimize parking management services. The role offers a flexible hybrid work setup, modern Apple hardware, and benefits including pension plans, corporate perks, and wellness programs in a start-up yet financially stable environment.
Location and work setup
- Location
- Munich
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Analyze extensive datasets to identify trends, patterns, and anomalies in parking and payment systems. Develop hypotheses and data-driven strategies to boost revenue and manage risks. Continuously monitor and improve revenue-enhancing tactics. Create statistical and analytical tools to support B2B customer parking management. Provide insights on user behavior and product utilization to inform product decisions. Collaborate with data engineers to ensure reliable and accessible data. Build self-service reporting and dashboards for business teams. Develop data pipelines for collection, processing, and transformation. Stay current with developments in data science, machine learning, and AI, mentoring team members as needed.
Qualifications
Proven senior-level experience in data science, machine learning, and analytics with measurable business impact. Degree in a quantitative field such as computer science, statistics, mathematics, physics, or engineering. Strong analytical and problem-solving skills with a keen curiosity for data and underlying processes. Expertise in Python, SQL, Git, and data visualization tools. Experience with cloud platforms, data warehouses, and NoSQL databases, specifically AWS, Aurora PostgreSQL, Redshift, and Tableau. Proficiency with Pandas, NumPy, Scikit-Learn, and PyTorch frameworks. Excellent written and spoken English at C1 level. Collaborative and cross-functional teamwork approach.