Data Scientist - Data Science Enablement (m/f/d)

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

We are keen on hiring a Data Scientist (m/f/d) for designing and implementing the models that make our rider and driver apps even smarter habit-forming products while delivering the best possible user experience to both our customer groups. Being part of the Data Science Enablement workstream, you will work closely with data analysts, machine learning engineers, and other data scientists while collaborating with business stakeholders and market specialists on a daily basis. 

With us, you will stretch, learn and grow in a creative, diverse, and collaborative environment that spans over more than 70 nationalities and 11 markets across Europe. Don’t join FREE NOW because of our perks or great office locations, join us if you can’t wait to disrupt the mobility industry with us!

What you will do

• Work closely with your peers and business end-users to identify, understand, structure, and solve complex problems in the fast-moving world of urban mobility, focusing on the Product and Operations sides of our business.
• Collaborate with machine learning engineers to put your models in production.
• Strive at bringing value to FREE NOW through thoughtful data science work.

About you

• Your 2+ years of experience working as a data scientist enables you to autonomously run a project from business understanding to deciding on and implementing the best data science approach to solve the problem at hand.
• You possess a good understanding of statistical analysis, data-driven modelling, and the inner workings of the main machine learning algorithms.
• While we typically look for candidates with an advanced University degree in Maths, Statistics, Computer Science, Economics, Engineering, or other quantitative disciplines, we are happy to be proven wrong that these degrees aren’t necessary.
• You are proficient in Python.
• You are comfortable with querying databases using SQL or HQL.
• Writing clean code and making your work reproducible is important for you.
• You are curious, eager to learn and you put collaboration ahead of competition.
• You can communicate in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
• You are located in Berlin (Germany) or willing to relocate.

Bonus skills

These skills are nice to have, but they are not a deal-breaker for us:

• Working knowledge of Spark
• Hands-on experience with some elements of our tech stack: Airflow, Databricks, Metabase, Hive, Presto, MLflow
• Experience with NLP.

Move like you

At FREE NOW we have colleagues from over 70 nations! We value open communication and welcome everyone as they are. We are all one team and follow the same goals – that’s why we share our insights and results to get on track together every month. 
Your wellness and work-life balance matters to us. We offer trust-based and flexible working hours as well as the option to work from home. In the office, you can enjoy our free drinks and daily fresh fruit. Do you like to be active? Take part in our subsidised gym membership. Bigger plans? Take a sabbatical leave and get out there!
Let’s grow together! We believe in a transparent career growth plan, quarterly development sessions with your team lead as well as regular 1:1s to help you thrive! For your own ideas, you’re welcome to set up initiatives and projects.
Need a lift? We offer Udemy e-learning platform, subsidised language classes, internal peer-to-peer trainings and more to support your learning & development opportunities.
More Benefits?  Monthly mobility budget for FREE NOW rides, quarterly team events, company-wide onboarding days at our HQ in Hamburg, relocation assistance for internationals, birthday-off, kudos and many more!