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Team Lead Data Science (f/m/x)

AUTO1 Group GmbH

Berlin

Vor Ort

EUR 80.000 - 100.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading digital automotive platform in Berlin seeks a skilled leader for their Data Science department. The role involves converting business requirements into machine learning solutions, fostering a culture of data-driven decisions, and driving team innovation. Candidates must have deep expertise in statistical analysis, SQL, and Python, along with proven leadership skills. The company offers generous vacation, an educational budget, and exciting team events.

Leistungen

30 days of vacation per year
Educational budget
Team events like hackathons
Discounts at Autohero

Qualifikationen

  • Deep knowledge in statistical and quantitative analysis with SQL and Python expertise.
  • Proven leadership skills in delivering end-to-end machine learning products.
  • Excellent communication skills to interact with stakeholders effectively.

Aufgaben

  • Collaborate to convert business requirements into machine learning solutions.
  • Drive innovation within the team and encourage exploration of new techniques.
  • Support team growth and take ownership of data science projects.

Kenntnisse

Statistical and quantitative analysis
SQL
Python
Machine learning techniques
Leadership
Excellent communication

Tools

AWS
Azure
Google Cloud
Jobbeschreibung
Company Description

We are seeking a technically skilled leader to join our dynamic Data Science department at AUTO1 Group Technology. As part of our disruptive approach in the used car market, our team leverages cutting‑edge technology to gather and analyze data, optimizing our platforms and processes.
AUTO1 Group is Europe’s leading digital automotive platform. We revolutionize the used car market with our well‑known brands Autohero, wirkaufendeinauto.de, and AUTO1.com.

Your new Role
  • Collaborate closely with your team and key stakeholders to convert business requirements into machine learning solutions
  • Foster a culture that values data‑driven decision‑making within the organization and aid in the enhancement of our data platform
  • Offer ML and engineering expertise and ensure your team builds, deploys and maintains high‑standard models
  • Drive innovation and creativity within your team, encouraging them to explore new data science techniques and approaches
  • Empower your team by supporting members to grow and take ownership of data science projects
  • Cultivate and demonstrate an action‑oriented approach, encouraging your team to experiment, iterate, drive initiatives forward, even amidst ambiguity and continually assess and improve the team’s performance, setting clear expectations and providing constructive feedback
Your Skills
  • Deep knowledge in statistical and quantitative analysis, coupled with practical expertise in SQL and Python, honed over several years. Experience with cloud platforms like AWS, Azure, or Google Cloud is a significant advantage
  • Proven leadership skills, with a track record of delivering end‑to‑end machine learning products in collaborative environments
  • Excellent communication skills: you can effectively interact with stakeholders to understand their requirements, as well as communicate complex technical concepts to your data science colleagues
  • Machine learning: hands‑on experience with a wide array of machine learning methods, along with the ability to discern the most suitable technique for various problems. Practical experience in causal inference is a plus.
  • Strong motivational and managerial skills to guide, support, and inspire your team to reach their objectives
Our Offer
  • 30 days of vacation per year
  • Educational budget to support your continuous learning and development
  • Freedom to choose the operating system you prefer working with
  • Exciting team events like hackathons, fostering collaboration and innovation
  • Discounts at Autohero, our platform for high‑quality used cars

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 non-merit factor.

Complete your job application by uploading your CV at the top of this application form. You can upload additional attachments, such as a cover letter or portfolio at the bottom.

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