Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop machine learning models for dynamic pricing and user interaction improvements, work on real-time data analyses, and implement strategies for market optimization.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- Educational Background: You hold a degree (BSc or MSc) in a STEM field such as Physics, Engineering, Mathematics, or Computer Science.
Qualifications
- 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.
Experience
- 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.
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What we offer
- Flexible working arrangements.
- LinkedIn Learning
- Sabbatical & special leave policies.
- WeRoad partnership.
- Birthday, 24th + 31st December off.
- Kurzfristige EU-Arbeitspolitik.
- Mobility Credit.
- Health Insurance.
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Topics that you deal with on the job
Job Locations
This is your employer
FREENOW
FREENOW is a significant mobility platform in Europe, headquartered in Hamburg. It offers a variety of transport options and connects drivers with passengers. The company was founded as a partnership between BMW and Daimler and operates in nine markets to optimize urban mobility.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Junior Data Scientist
- Location
- Hamburg, Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
