Team Lead Data Science

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

Qualifications
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

Additional Information
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.