Team Lead Data Science (f/m/x)

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 standards 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
• 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
• 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, foster collaboration and innovation.
• Discounts at Autohero, our platform for high-quality used cars.

Contact
Lina Antoniuk

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.