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 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
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