Job
- Level
- Junior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Hamburg, Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Machine Learning Modelle für dynamische Preisgestaltung und Verbesserungen in der Nutzerinteraktion, arbeitest an Echtzeitdatenanalysen und implementierst Strategien zur Marktoptimierung.
Job Technologien
Deine Rolle im Team
- We are looking for a Junior Data Scientist to join our Marketplace team at Freenow. In this role, you will support the development of intelligent pricing and allocation models that enhance the experience for both riders and drivers.
- You will contribute to the end-to-end lifecycle of machine learning products, helping to transform complex data into real-time decisions that drive user engagement and operational efficiency across our European markets.
- Model Development: Assisting in the training and refinement of machine learning models focused on dynamic pricing, allocation, and incentives.
- Marketplace Optimisation: Supporting the design of voucher and incentive strategies using causal modelling to measure and improve user engagement.
- Productionalising Code: Working closely with Machine Learning Engineers to deploy models into production, ensuring scalability and performance.
- Monitoring & Quality: Participating in the maintenance of quality monitoring systems to ensure the ongoing reliability of our real-time ML models.
- Stakeholder Collaboration: Translating technical metrics into clear, actionable insights for product and business managers.
- Technical Innovation: Proactively testing small-scale improvements to existing models and researching GenAI applications.
- Experimentation: Generating data-driven insights through forecasting and A/B testing to help the team anticipate emerging marketplace trends.
Unsere Erwartungen an dich
Ausbildung
- Educational Background: You hold a degree (BSc or MSc) in a STEM field such as Physics, Engineering, Mathematics, or Computer Science.
Qualifikationen
- Data Proficiency: You are proficient in writing and optimising complex SQL/HQL queries to extract and manipulate large-scale datasets independently.
- Programming Skills: You write clean, structured Python code and are comfortable with technical configurations including Git, Docker, and environment management.
- Analytical Mindset: You possess a solid understanding of statistical analysis, probabilistic modelling, and foundational Machine Learning.
- Communication: You have the ability to explain intricate technical concepts to non-technical audiences and use data visualisations to recommend strategy adjustments.
- Continuous Learning: You stay current with industry trends, including an interest in LLMs and generative AI, and are eager to adopt new architectural patterns.
Erfahrung
- Bonus Points: Prior experience with Databricks, an enthusiasm for geo-spatial data, or exposure to specialised domains such as Causal Inference, Reinforcement Learning, or Time Series Analysis.
Unser Angebot
- Flexible working arrangements.
- LinkedIn Learning.
- Sabbatical & special leave policies.
- WeRoad partnership.
- Birthday, 24th + 31st December off.
- Short term EU work policy.
- Mobility Credit.
- Health Insurance.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
FREENOW
FREENOW ist eine bedeutende Mobilitätsplattform in Europa, die ihren Sitz in Hamburg hat. Sie bietet eine Vielzahl von Transportmöglichkeiten und bringt Fahrer mit Passagieren zusammen. Das Unternehmen wurde aus einer Partnerschaft zwischen BMW und Daimler gegründet und ist in neun Märkten tätig, um die urbane Mobilität zu optimieren.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Junior Data Scientist
- Ort
- Hamburg, Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
