Data Scientist
WE ARE PARKBEE! 🚘
ParkBee is the leading European tech platform for parking, making underutilised off-street parking locations digitally accessible to consumers. Our solution provides consumers with a wide and dense network of off-street parking spaces while helping cities make better use of underutilized space and offering property owners an extra income using our smart and innovative platform.
ParkBee is evolving and growing fast, and our team is playing a crucial role in creating a sustainable growth model for the company. Our growth team is responsible for driving new users to our platform, optimising the online experience, and ensuring that users have the best customer experience.
How do you contribute to the team?
We are looking for a super-driven and eager colleague to take our efforts to the next level. You will assist with ParkBee’s
products, as those are constantly evolving. A
deep-rooted background in the
e-commerce industry, showcasing a portfolio of successful pricing projects, especially within dynamic
pricing.
Main tasks/responsibilities:
- Build an algorithm that learns the optimal price point for our digital parking products.
- Define Parkbee's strategy to optimize our prices - cover business and technical.
- Implement and maintain a product ready service on Python to update our garages.
- Perform analysis of user's behaviours to define pricing strategies.
We are likely to be a match if you:
- You are a self-starter who is proactive, hands-on, curious, and motivated. You want to go the extra mile. You get the job done!
- Master's degree in Computer Science, Data Science, Statistics, or Econometrics, with a pronounced focus on dynamic pricing strategies.
- Experience in e-commerce industry, pricing projects, and dynamic pricing.
- 3 to 6 years of relevant experience in Data Scientist positions.
- Advanced knowledge in Data Modelling (Multi-armed bandit model); Coding language (Python - Pandas, Scipy, Numpy, TensorFlow, PySpark & SQL.
- Ability to use Snowflake and cloud technology (Kubernetes, Docker, AWS, and GitHUB Github deployments).
- Attention to detail and data accuracy.
- Ability to communicate across functions and seniority; strong team player.
- Fluency in English. Dutch is a plus.
- Adaptable and able to work in a fast-changing environment, you want to contribute to the growth of an ambitious scale-up.
Park with us!
Not only will you change the way we park in cities, but you will also rapidly move your own career forward. Besides that, you’ll find:
- An ambitious team of colleagues from all over the world.
- Personal development budget of €1500 a year tailored to your growth plans.
- Pension Scheme, Macbook, 25 days holiday, daily fresh lunch & awesome team events.
- Holiday substitute scheme
- Inspiring office in Amsterdam - where we would love to have you around for at least 3 days a week.
Reserve your spot, drive in later
Sounds good?
We would love to hear from you! We don’t require a long motivation letter; we’d rather have a few pointers, your LinkedIn, and your resume.
Have some burning questions first? Get in touch with Amanda via LinkedIn.
- Department
- Product & Design
- Locations
- Amsterdam
Colleagues
Amsterdam
Our culture
Founded in Amsterdam, we are a fast growing scale-up with offices in the Netherlands and the United Kingdom. Our team is ambitious, hard-working, and determined. One of our core values is to push boundaries, meaning that we are all seeking for opportunities to change the traditional mobility industry expand even further.
We motivate each other to get the best out of our company and out of ourselves. ParkBee can be described as a data-driven, vigorous forerunner. Where we celebrate our successes, and connect during Friday drinks, but also where we challenge each other and give each other feedback to grow. We make sure there is room for personal development, as we believe it is our team members that lead the way.
About ParkBee
We are ParkBee. A team of ambitious frontrunners with different backgrounds. Together we develop smart technology to make better use of existing parking spaces, so we can give space back to the city. Our goal? To make street parking redundant. Join our team now and become a part of our mobility revolution.
Data Scientist
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