Team Lead Data Science (f/m/d)
Team Lead Data Science (f/m/d)
Posted on :
27-06-2025
Employer Active
1 Vacancy
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Job Description
- 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 teams 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
Marija Dimitrova
#LI-A1
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Key Skills
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