AutoScout24

Data Scientist (m/f/d)

Job description

A career driven by you . Join AutoScout24 Group and experience life in the fast lane . We’re not just leading the market ; we’re creating it. We’re constantly innovating , evolving, and transforming things for our customers . We’re driven , ambitious and determined to do our best work , together . For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves , join our global community .

Join our Data Science team at AutoScout24 and build high-impact data products powered by machine learning. Though an established industry leader, AutoScout24 has a startup culture in which your innovative ideas can be put to the test and impact millions of users. The Data Science team partners with groups all across the company and leverages state-of-the-art technology to offer solutions that set AutoScout24 apart.

In this role you will be collaborating closely with our auction experts from AUTOproff, Denmark, and apply your expertise in image, text or tabular data to help build the next generation C2B marketplace for Europe.

At AutoScout24, we appreciate different lifestyles and cultural backgrounds. We welcome diversity as a strength. Our organization is, e.g. made up of more than 50+ different nationalities, all working together inclusively and respectfully.

What You Can Look Forward To

  • Driving Growth: Gain a deep understanding of how our business works and build strong relationships with business stakeholders to generate and deliver impactful data science products
  • Taking Ownership: Have the chance to take end-to-end ownership for your data science products, spanning the entire technical workflow (incl. data ingestion, processing, model training, deployment and model management in production) and related project management responsibilities - you get a high level of autonomy and the responsibility that comes with it
  • Amazing Customers: Put the customer/user of your data science product at the center of your product development - work closely with customers to deeply understand their needs and derive data science products that will deliver real value
  • Winning Together: Participate in code reviews, peer mentoring and regular knowledge sharing sessions (brown bags, show & tells etc.) to grow and win together as a team

How we empower you to turn ideas into reality and have fun doing it:

  • A team and company environment that gives you lots of opportunities to innovate and shape our business and culture
  • A highly competitive compensation package and a range of personal benefits such as discounts from our partners
  • Targeted trainings, workshops, coaching and support services that help you grow at AutoScout24 and in life
  • Cutting-edge laptops (Apple or Windows) and other personal tech equipment that you can also use privately; our super-friendly Employee Tech team will ensure that your tech needs are always taken care of
  • Regular virtual and in-person team and company events to have fun, share and celebrate successes (including hackathons, summer and Christmas parties and the Oktoberfest, as the pandemic allows)
  • Encouraging a healthy lifestyle with health & diet seminars, sports courses, discounts at the gym, and charity runs (e.g. Wings For Life World Run)
  • 30 vacation days a year, flexible working hours and the possibility to work onsite and remote
  • State-of-the-art office at the heart of Munich (a short 5 minute walk from the Leuchtenbergring S-Bahn station and nearby bus/tram stops) with top-notch facilities and tech equipment, an attractive canteen, multiple kitchens, and lots of free coffee and fresh fruits; there is also an Edeka nearby and lots of tasty places to eat out
  • A dog-friendly office; we love our four-legged friends so feel free to bring yours with you

What you should bring:

  • Excellent academic background (a PhD is a plus) in a quantitative field such as computer science, engineering, economics, etc.
  • Strong proficiency in Python, SQL and specialized ML libraries (e.g. scikit-learn, TensorFlow, PyTorch)
  • Solid understanding of the benefits and drawbacks of different ML algorithms (incl. knowledge of deep learning models)
  • First-hand experience working with relational/no-SQL databases and query technologies (e.g. Postgres, MongoDB, Presto, Hive)
  • First-hand experience working with Docker, AWS services (e.g. S3, EC2, Data Pipeline, CloudWatch, CloudFormation) and Jenkins is a strong plus
  • First-hand experience in deploying, maintaining, and updating models in production, as well as tracking experiments
  • First-hand experience in serving ML models via APIs (e.g. Flask, FastAPI)
  • Experience working end-to-end (from ideation to deployment) to deliver production-ready data products
  • Experience working with business stakeholders (incl. gathering and translating business requirements into technical solutions, and explaining technical concepts to a non-technical audience)
  • Experience in product management and/or project management (especially in a fast-paced agile environment using Scrum/Kanban) is a strong plus
  • Experience working in e-commerce and/or having a good grasp of relevant data science use cases is a strong plus

A culture of growth

With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.

For a career where you can drive our business and shape your future, apply now.

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