Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona!
At FREE NOW we are at a thrilling stage of our existence - we are developing an exceptional product that is used daily by over a million people. We belong to one of the most dynamic spaces for innovation in today's world: shaping mobility. Our day-to-day operation involves solving large-scale, complex issues – and we adore it!
With us, you will expand, learn and grow in a creative, diverse, and cooperative environment that spans across more than 70 nationalities and 11 markets throughout Europe. Do not join FREE NOW because of our perks or fantastic office locations, join us if you are eager to disrupt the mobility industry with us!
YOUR DAILY TASKS WILL INCLUDE:
The Marketplace department is the heart of our platform and consists of Product Management, Data, and Engineering. As a team, we aim to build our Pricing and Allocation product, which results in increased customer engagement, better resource utilization, and in the end, a balanced demand and supply scenario.
As the Data Science Lead in the Marketplace, you will collaborate closely with the Product and Engineering Managers to enhance existing products like surge or demand prediction, and evaluate future opportunities to improve our Marketplace performance. You're in charge of a team of 4 to 6 Data Scientists, collaborating and methods of working with Machine Learning Engineers, processes, and the strategy for the Marketplace Data Team. If you are eager to reveal new potential and push FREENOW into a stronger position, here is your chance.
In more detail, this implies…
- Using a comprehensive understanding of the business and its processes, pioneer innovation within the business and define how to create additional value through the use of our data assets and tools
- Take leadership in forming a vision around the optimization and operationalization of our Marketplace Tech stack and automation. Driving the application of advanced data-driven insights in our Marketplace Department and defining the data strategy.
- In close collaboration with the data leadership circle and engineering managers, establish the right priorities for their teams, conceptualize and implement different components of the data infrastructure, processes and models to maximize the impact and value of data usage for all stakeholders in our increasingly complex market environment.
- Function as the manager of our data scientists and define ways of working with machine learning engineers in the Marketplace, and if possible, provide guidance to them as well. Facilitating effective cooperation between data scientists, machine learning engineers, and cross-functional engineering teams.
- By using strategic thinking and planning, help the team to identify, understand, structure and solve intricate problems and improve and productionize real-time data products and enhance processes.
Our Datastack: Python | MLFlow | Databricks | Presto/Trino | Tableau | Airflow | Metabase & more
TO SUCCEED IN THIS ROLE:
You are a problem solver, detail-oriented, and self-motivated individual who flourishes in an innovative, highly driven environment, combining technical, product, business, and leadership perspectives. Further essential aspects of your profile are:
- Excellent communication skills and capable of interacting and coordinating with internal and external stakeholders in managing end-to-end processes and projects
- Experience in leading and developing high performing data teams and cooperation with cross-functional engineering teams
- Facilitating methods of working between Machine Learning engineers and Data Scientists
- A history of leading and supporting successful data projects and the ability to clearly define project objectives, resources, timelines, and methodologies to all stakeholders
- Highly analytical and problem-solving skills
- A hands-on mentality, not scared to actively get their hands dirty to accelerate the generation of new insights.
- Comfortable working with data and ability to derive insights from datasets and devise practical, scalable, data-driven solutions
- Ability to flourish in a fast-paced and collaborative environment
- Acts as a role model in pragmatism to find solutions for your team
PERKS & BENEFITS QUICKVIEW:
- Fully remote* or hybrid working models
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- Free Udemy e-learning access
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- Sabbatical & special leave policies
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- Subsidised gym membership
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- Day off on birthdays, 24th + 31st December
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- Partner product discounts
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- Employee assistance program
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- Personal development budget
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Plus more local benefits depending on your work location!
*in one of the 10 countries where we have a legal entity: The Netherlands, Spain, Germany, Austria, Portugal, Italy, England, Ireland, Poland & Greece
DIVERSITY, EQUITY & INCLUSION:
FREENOW is an equal opportunity employer and we consider eligible applicants without regard to race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your genuine self to work.
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