data-science

Auto1 Group

<div><section><div><p></p><h2>Company Description</h2></div><div><p><strong>Choose challenge. Choose pace. Choose growth.</strong></p><p>Our Tech department is the driving force behind one of the most successful start-ups in Europe since 2012. Based in Berlin, we have an innovative and driven team that is using cutting-edge technologies to redefine the used car market.</p><p>You will lead a hard-working team of 20+ Data Scientists and Machine Learning Engineers. You will manage 4 sub-teams that develop and maintain ML models in the areas such as pricing, recommendation systems, risk, conversion modeling, dynamic margins and inventory selection - in combination these models impact a major part of our business result. As Director of Data Science you will take over a successful department and need to grow it to the next level in terms of processes, adopted technology and its collaboration with Tech and management. You will directly contribute to Auto1’s mission to revolutionize how people sell and buy cars online.</p><p> </p><p><strong>Your role</strong></p><ul><li>Ensure our Machine Learning models deliver impact for the business</li><li>Work together with Data Science Team Leads and oversee the development of various ML topics to ensure people and resources are allocated to the most impactful projects and these projects are on track </li><li>Motivate team members to develop their maximum potential: attract, develop and retain the best talent </li><li>Identify business opportunities and successfully collaborate with stakeholders and partners in tech </li><li>Advocate best practices with respect to processes, coding standards, and technologies adopted within the data science department and provide technical expertise in deriving fit-for-purpose solutions.</li><li>You give technical advice to team members with respect to modeling questions and MLOps design choices and provide rigorous reviews on critical pull requests</li></ul><p><strong>Your skills</strong></p><ul><li>You have experience in managing teams/departments </li><li>Proven track record of generating substantial business impact via successfully pushing ML models into production </li><li>Having a profound knowledge with respect to predictive Machine Learning models, software engineering practices, and Machine Learning Operations. </li><li>You have experience with or can quickly adapt to the Tech stack used in the team that contains e.g., Python, AWS services (Step Functions, Glue, Sagemaker &amp; Sagemaker Python SDK, Redshift, etc.), Jenkins, Terraform, FastAPI and SQL</li><li>You have a good business understanding and are able to draw the right conclusions from the results of A/B test experiments and consult stakeholders  accordingly</li></ul><p><strong>Our offer</strong></p><ul><li>Colleagues who strive for excellence while using the latest technologies. See what we do in our Tech-Blog: https://auto1.tech</li><li>Our dynamic startup environment offers new challenges for personal growth with the contribution of own ideas</li><li>More than 90 different nationalities make up for a truly international and diverse working environment</li><li>You will work with some of the most talent engineers in the city, and have the chance to learn and exchange experiences with our in-house training courses</li><li>Open communication and delivering results are more important to us than a dress code — wear whatever you want</li></ul><p><strong>Contact: </strong>Igor Popov</p><p><strong>AUTO1 Group</strong> is Europe's leading digital automotive platform. As a dynamic tech company, we are revolutionizing the used car market with our brands<strong> wirkaufendeinauto.de, AUTO1.com</strong> and<strong> Autohero. </strong>Our strong team of 5.000 people is dedicated to making Europe-wide car trading and transport as fast, easy, and stress-free as possible for our customers. Grow personally and shape the future of car trading with us.</p><p><em>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.</em></p></div></section></div>

Director of Data Science (f/m/x)

remote

24 days ago