(Senior) Data Scientist - Marketplace (m/f/d) - Berlin

Location: We are flexible! Come and join us either in Hamburg, Berlin, London or Athens

At FREE NOW, we are at an exciting point in our history — we are building a world-class product used daily by more than a million people. As part of one of the most dynamic spaces for innovation in today's world, we shape mobility. Our daily business is solving large-scale, complex problems, particularly in dynamic pricing and resource allocation — and we love it!

We are keen on hiring a Senior Data Scientist (m/f/d) who specializes in designing and implementing advanced models that drive operational excellence and smart decision-making in our business. As a key member of our Pricing and Allocation team, you will work closely with data analysts, machine learning engineers, and other data scientists, while also collaborating with business stakeholders and market specialists on a daily basis.

YOUR DAILY ADVENTURES WILL INCLUDE:

• Pioneering Deep Reinforcement Learning Models: Experiment with and refine deep reinforcement learning algorithms to optimize decision-making processes in real-time pricing and resource allocation, ensuring adaptive and scalable solutions.
• Advancing Simulation Technologies: Develop and extend simulation models to accurately predict market dynamics and customer behaviour, enabling robust testing of hypotheses and strategies before full-scale implementation.
• Enhancing Algorithmic Approaches: Innovate and improve upon existing optimization algorithms to handle the complexities of urban mobility and logistics, focusing on efficiency and speed.
• Real-Time Data Utilisation: Develop systems that leverage real-time data feeds to adjust models on-the-fly, enhancing responsiveness to sudden changes in the operating environment.
• Custom Reinforcement Learning Architectures: Develop custom reinforcement learning architectures that adapt to variable reward structures typical in dynamic pricing, incorporating uncertainty and risk assessment directly into the model's learning process.
• High-Fidelity Simulation Environments: Create high-fidelity simulation environments that can model complex interactions between multiple variables such supply, demand, traffic conditions, and local events, influencing pricing and driver allocation.
• Collaborative Problem Solving: Work closely with your peers and business end-users to identify, understand, structure, and solve complex optimization and allocation problems within the fast-moving urban mobility sector.
• Mentorship and Knowledge Sharing: Strive to grow and share your knowledge within the team, particularly in deep learning and deep reinforcement learning. Embody data science best practices and thrive on mentoring your peers, enhancing the collective expertise of our team.
• Data Science Advocacy: Be a champion of FREE NOW Data Science for both internal and external stakeholders, presenting your innovative work at core company events, meetups, and conferences.

TO BE SUCCESSFUL IN THIS ROLE:

• Experience: You have at least 5 years of experience as a data scientist with a proven track record in operations research and optimization problems.
• Deep Expertise: You possess a deep understanding of statistical analysis, experience in operations research and optimization techniques, and the inner workings of deep learning and reinforcement learning algorithms.
• Domain-Specific Knowledge: You hold specific expertise in dynamic pricing, resource allocation, or related fields within operations research.
• Technical Proficiency: Proficiency in Python and comfortable with querying databases using SQL.
• Code Quality: Writing clean code and making your work reproducible is important to you.
• Collaborative Spirit: Not only are you curious and eager to learn, but you also place a high value on collaboration and are committed to fostering the growth of your teammates by sharing your knowledge and mentoring.
• Educational Background: While candidates typically hold an advanced University degree in Maths, Physics, Statistics, Computer Science, Engineering, or other quantitative disciplines, we are open to being convinced otherwise.

If you have a passion for leveraging cutting-edge technologies to solve complex real-world problems and are eager to make a significant impact in the urban mobility sector, we would love to hear from you.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

FREENOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work. 

ABOUT FREENOW:

FREENOW is the Mobility Super App with the largest vehicle choice for consumers across Europe. More than 54 million users in 16 markets and in over 170 cities today are already moving freely from A to B by accessing the largest selection of mobility options available in one app.

Through the unique integration of mobility brands and payment services, they can book their nearest taxi, private hire vehicle, car sharing or micro-mobility option such as eScooters, eMopeds, and eBikes within the app. FREENOW aggregates numerous mobility brands with the ambition to make urban mobility more efficient and sustainable without adding new vehicles on the street.