Data Scientist (f/m/x/d)

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Join the ride!
As a Data Scientist at MILES, you’ll go beyond model development to create end-to-end data science solutions that influence business decisions, product features, and internal tooling. This role is ideal for someone with a strong technical foundation and a high sense of ownership, taking projects from idea to execution.

Join the ride!
As a Data Scientist at MILES, you’ll go beyond model development to create end-to-end data science solutions that influence business decisions, product features, and internal tooling. This role is ideal for someone with a strong technical foundation and a high sense of ownership, taking projects from idea to execution.
You are open-minded to learn new techniques and tools and feel comfortable with a steep learning curve.
Your Responsibility

• Data Preparation and Analysis Take responsibility for preparing datasets, exploring data quality issues, and conducting exploratory analyses. Proactively identify patterns and insights to support modeling and decision-making efforts.
• Independently Drive Subsections of Projects Manage well-defined workstreams within larger projects, such as building preprocessing pipelines, designing experiments, or maintaining monitoring dashboards,with increasing autonomy and accountability over time.
• Support Model Development and Evaluation Contribute to the development and validation of machine learning models, including feature engineering, training, and performance tracking. Collaborate with our Senior Data Scientist on improving model quality and scalability.
• Maintain Clear Communication and Documentation Document technical decisions, results, and workflows clearly and systematically. Communicate progress effectively with the team and stakeholders, and be prepared to present findings or contribute to discussions when needed.

Your Experience

• Education: You hold a Master’s degree in a relevant field such as Data Science, Computer Science, Engineering, Statistics or a related discipline.
• Experience: You have already gained first work experience as an intern, working student or full-time and had direct contact with real-world ML projects and applications.
• Profile: You want to make an impact by not just building models but also creating solutions that last. You\’re energized by turning raw data into valuable products, and you\’re not afraid to explore, test, fail, and improve. You have a general interest in Artificial Intelligence applications and their strategic impact on business decisions within the mobility sector.
• Technical skills:

• Proficient in Python and relevant ML libraries: scikit-learn, TensorFlow, Keras.
• Good Understanding of core ML concepts: supervised/unsupervised learning, evaluation metrics, cross-validation
• Good SQL knowledge for data extraction and manipulation
• Familiarity with computer vision and image analysis
• Nice to have:

• Experience with NLP techniques
• Experience with deep learning architectures (CNNs, transformers)
• Familiarity with Kubernetes and container-based deployment workflows
• Experience with data-visualisation tools to showcase the result of ML applications.

Benefits

• Mobility: Choose between monthly MILES credits or the Deutschlandticket.
• Fitness: Enjoy a subsidized Urban Sports Club membership for your physical and mental well-being.
• Discounts: Access 1,500+ providers for discounts on sneakers, theater visits, and more.
• Home Office: Enjoy the flexibility of working from our office in Berlin and from home.
• Retirement: Secure your financial future with our attractive pension plan.
• Growth: We prioritize personal development through knowledge sharing and training opportunities (with the support from our HR Team and the Team Leads).
• Social Impact: We dedicate a portion of our revenue to support regional social projects, actively contributing to the well-being of society and the environment. #milescharity

About Us
OUR VALUES
Our MILES values are the basis of our daily work and what makes us a team. They define how we treat each other at MILES and how we strive to bring the best of ourselves to our customers.
Here is a brief insight into what you can expect from us in your day-to-day:
Passion: Be yourself, have fun, and enjoy what you do.
Ownership: Strive for excellence and surprise yourself.
Resourceful: Be pragmatic. Use what we have first.
Curiosity: Feel free to challenge the status quo and be willing to adapt.
Support: Support each other and proactively ask for help.
Empathy: Always consider the position others are in.
About Miles
We are the leading car sharing provider in Germany and also offer long-term car subscriptions. Thanks to our cooperation and charity activities, part of our turnover goes towards regional and social projects.
At MILES, we believe in a world in which mobility is shared, sustainable, and accessible to all. With our offer, we create an alternative to private car ownership, reduce the number of vehicles on the roads, and positively contribute to urban life.
Become part of our diverse team, bringing talented people from over 50 countries together, each with their own experiences and ideas.
GOOD TO KNOW
Don\’t have a MILES account yet? With the code JOINUS15, you will receive €15 starting credit when you register for the first time. Enjoy the ride!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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