Data Scientist

vor 5 Monaten

Berlin, Deutschland Flix Vollzeit

We're looking for a **Data Scientist (M/F/d)** **to join our Network Analysis team in Berlin.

**Your Tasks - Paint the world green**:

- You will work on internal tools, products and services that use statistical and machine learning methods for analysis of large transportation networks
- You will contribute to deploying, maintaining, and improving complex machine learning models in production
- You will be part of a cross-functional team, collaborating with engineers, other data scientists and business stakeholders within the domain
- You will partner with business, product, and other teams within the Network Planning domain to ensure a more informed and efficient development of transportation networks

**Your Profile - Ready to hop on board**:

- You have at least 3 years experience in designing and implementing Data Science products
- You have a good theoretical understanding of machine learning and other statistical methods especially tree-based/boosting algorithms, forecasting and time-series modelling
- You have experience collaborating with a team of data scientists and engineers in developing and delivering machine learning models that work in production, incl. automated testing, model monitoring and iterating models
- You have solid programming experience in Python and its Data Science ecosystem (Pandas, Scikit-learn, etc.) and familiarity with R (or interested in learning it)
- You have a good understanding of SQL and using relational databases. Experience with other data streaming and storage services (Kafka, AWS) is a plus
- You have an interest in working with geospatial and mobility data
- You collaborate well with others and enjoy working in a team setting
- You are a good communicator, who is able to represent the team in technical and non-technical contexts
- You are always curious to learn new technologies and gain a deeper insight into the domain, Network Planning

**Our Perks - More than just a job**:

- You have an impact. With innovation and smart technology, we are creating the easiest way to travel. We want your ideas and give you autonomy to make them reality.
- Flix is flexible. Organize your own schedule, and balance work between the office and home as it's best for you. We give you trust-based hours and a flexible smart working policy.
- Travelling is our passion. Discover the world with your free Flix rides and bring along your friends and family for half price.
- Teamwork makes the dream work. Our FlixTeam has people from over 80 different nations. We work in a multicultural environment where we can challenge and support each other.
- We're not only green in color. We're building for the long term, and that means protecting our planet. We constantly test new green technologies and compensate for the CO2 after all our business travel since 2018.
- Your well-being is important to us. To treat your mind and body we will give you a competitive paid time off package, mental health support including 1:1 consultations with a psychologist, and a neat discount on UrbanSportsClub memberships.

**Flix - A place to enjoy work and have an impact**

The future of transportation is Green. Here at Flix Tech, the R&D group, we develop software with the brightest minds from around the world to engineer new experiences for our millions of customers across our apps and websites. Every day we solve challenging problems, like how to scale rapidly around the world and how to make an experience that delights our customers. We have a culture of sharing ideas, contributing to open source projects and being an active member in our technical communities.

Flix is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate on the basis of race, color, religion, gender (including pregnancy and gender identity), national, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, age, veteran status, or other legally protected characteristics. All employment decisions are based on business needs, job requirements, competence and merit.

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