Senior Data Scientist (m/f/d)
What can you expect?
- You analyze large datasets to identify and understand trends, patterns, and anomalies
- You develop data-driven hypotheses to drive revenue growth and identify potential issues or opportunities
- You continuously monitor and refine revenue-enhancing strategies directly impacting Millions of Euros in revenue
- You extend our current product portfolio with statistical tools to support our B2B customer in managing their parking areas
- You provide insights on user behavior, product usage, and customer satisfaction to guide product development decisions
- You build data pipelines for data collection, processing and transformation and create visually compelling dashboards and reports to communicate insights
- You stay up-to-date with the latest advancements in data science and machine learning
Occupational fields
Data Scientist (m/w/d)
Data Science & Artificial Intelligence
Tech
What do we offer?
- Office: At our office at Neue Balan we enjoy the daily views of the Alps, have communal lunches on our rooftop terrace during the summer, host barbecues and organize regular team-building events
- Rapidly Growing Company with a Start-Up Atmosphere: We have short communication and decision making paths, a culture of addressing each other informally from interns to the CEO, open doors, highly motivated and helpful colleagues. We learn from each other every day, grow as a team and pursue ambitious goals
- Exciting Environment: You´ll have the opportunity for autonomous work, an open feedback culture, a step learning curve, and plenty of room to implement your ideas.
- Continued Education: We offer German courses for non-native speakers and other exciting personal development and career opportunities
- Attractive Base Salary and Performance-Based Bonus
- Work-Life-Balance: Flexible working arrangements based on trust regarding time, location, and work model
- 40 hours per week (trust-based), Home Office Policy: 3 days in the office / 2 days remote
- Unlimited (permanent) employment contract
- MacBook Pro and curved monitor in the office
- Partner with our CTO & Head of Product (Ph.D. Data Science) for maximum revenue impact
Company Doctor
Paid Continuing Education
Parental Leave
Vehicle Pool
Company Car
Gym Subscription
Job Bike
Employee Discounts
What should you bring along?
- You show real seniority in data science, machine learning, and data analytics with real-world data, this seniority is not defined by years of experience but by strive for continuous improvement, direct impact on the business, and ownership
- You have a degree in a relevant field such as computer science, statistics, mathematics, engineering, or a related quantitative discipline
- You strive for a deep understanding of data and underlying processes and you have strong problem-solving skills and a keen analytical mindset
- You can demonstrate proven experience in data analysis, statistical modeling, and machine learning
- You are an expert in Python, data visualization, SQL and git and you have experience with cloud computing, data warehouses, and NoSQL databases
- You possess strong knowledge of data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-Learn, PyTorch)
- You work effectively in a collaborative, cross-functional team environment and you have excellent written and spoken English skills (level C1).
At least 5 years of work experience required
Languages
English
Skill set
Python
SQL
Datenvisualisierung
Git
Datenanalyse
Data Science
Cloud Computing
Data Warehouse
NoSQL
About Peter Park System GmbH
Revolutioniere mit uns die Parkraumbewirtschaftung! Gestalte die Zukunft mit digitalen Lösungen und einem dynamischen Team. Wir bieten unseren Kunden digitale Lösungen zur Parkraumbewirtschaftung. Wir ersetzen Schranken, Papiertickets und Parkscheiben durch barrierefreies Parken mit mobilen Bezahlmöglichkeiten. Im engen Austausch mit unserem Kundenstamm und Unternehmenspartnern stellen wir uns der Herausforderung, unsere Lösung ständig zu verbessern und zu erweitern. Als dynamisches Startup legen wir Wert auf Begeisterung, Eigenverantwortung und Feedback-Kultur. Dafür suchen wir engagierte Leute für unser Team!
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