Data Scientist (fmd)

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Proficiency in machine learning techniques and statistical analysis., Academic or practical experience in quantitative research or related fields., Strong coding skills in Python and SQL, with knowledge of version control and best practices., Experience with cloud deployment and CI/CD pipelines is a plus..

Key responsibilities:

  • Develop and implement machine learning solutions to address business challenges.
  • Collaborate with engineering and product teams to deploy data science models.
  • Monitor and analyze model performance in production environments.
  • Identify opportunities for data-driven growth and communicate findings effectively.

AUTO1 Group logo
AUTO1 Group Large https://www.auto1-group.com/careers/
5001 - 10000 Employees
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Job description

Company Description

We are seeking a technically skilled and passionate Midlevel Data Scientist with expertise in advanced machine learning methods to join our international and dynamic Data Science department at AUTO1 Group Technology. AUTO1 Group is Europes leading digital automotive platform. We revolutionise the used car market with our wellknown brands Autohero, wirkaufendeinauto.de, and AUTO1.com. We are dedicated to leverage cuttingedge technology to develop Machine learning solutions that optimize our sales and processes.

As a Data Scientist at AUTO1 Group, you’ll work on highimpact pricing solutions, applying machine learning and statistical modeling to solve complex business challenges. You’ll drive endtoend development—from prototyping innovative solutions to deploying scalable models that enhance pricing strategy across our platform. Working closely with analysts, engineers, and product teams, you’ll leverage datadriven insights to shape key decisions and contribute directly to AUTO1’s growth.

We are excited to work with talented contributors. Join us in shaping the future of automotive dealer sales with machine learning solutions!

Job Description
  • Translate business needs into machine learning solutions that bring positive business impact
  • Collaborate with engineering and product teams to deploy Data Science services and embed them in the Auto1 tech infrastructure
  • Monitor model performance in production, share results with stakeholders and develop actionable next steps
  • Identify business opportunities and collaborate with stakeholders and partners in tech to drive growth
    • Qualifications
      • Handson experience with a broad range of machine learning techniques and the ability to identify the appropriate technique in different scenarios
      • Advanced statistical and quantitative knowledge with practical experience, we welcome candidates with academic experience in a quantitative research field
      • Proficiency in SQL and Python with coding best practices and code reviews in gitgithub
      • Experience in deployment in AWSAzureGoogle Cloud and CICD pipeline tools is a plus
      • Communication and visualisation skills that enable you to present findings in a clear and unambiguous way
      • Experience in effective collaboration, you are a natural team player and communicate fluently in English
        • Additional Information
          • Possibility to work remotely, either partially or on a fulltime basis
          • International team with flat hierarchies and open communication
          • Educational budget to support your continuous learning and development
          • Regular knowledge sharing session within team on various topics
          • Exciting team events every quarter
          • Discounts at Autohero, our platform for highquality used cars
            • Contact
              Marija Dimitrova

              At AUTO1 Group we live an open culture, believe in direct communication, and value diversity. We welcome every applicant; regardless of gender, ethnic origin, religion, age, sexual identity, disability, or any other nonmerit factor.

              #LIA1

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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