- 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
- Cultivate and demonstrate an action-oriented approach, encouraging your team to experiment, iterate, drive initiatives forward, even amidst ambiguite and continually assess and improve the team's performance, setting clear expectations and providing constructive feedback
- 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
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 non-merit factor.
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