Senior Data Scientist
About this role
About eghed
eghed is an expertise group passionate about creating the AI solutions of the future. We are an innovative team with a strong passion for technology and an entrepreneurial spirit that permeates everything we do. Through close collaborations with our partners, both on-site and in-house, we develop solutions that not only meet today’s needs but also open doors to tomorrow’s possibilities. We have already developed proprietary IP that accelerates our deliveries, and we are constantly seeking new ways to push the boundaries of what is possible.
Requirements
- At least 5 years of experience as a Data Scientist, Data Engineer or Machine Learning Engineer.
- A university degree in a highly technical and quantitative field (e.g., Mathematics, Physics, computer Science etc.)
- Hands-on experience from the industry with at least a couple of production-level data science projects - from prototyping to
About Eghed Stockholm AB
eghed is an expertise group passionate about creating the AI solutions of the future. We are an innovative team with a strong passion for technology and an entrepreneurial spirit that permeates everything we do. Through close collaborations with our partners, both on-site and in-house, we develop solutions that not only meet today’s needs but also open doors to tomorrow’s possibilities. We have already developed proprietary IP that accelerates our deliveries, and we are constantly seeking new ways to push the boundaries of what is possible. About the Role We are looking for a Senior Data Scientist who shares our passion for creating something new and has the courage to explore uncharted territories. Here at eghed, you’ll have the opportunity to help build the company from the ground up, shape our technical solutions, and be a key player in our continued growth. We love individuals who are accustomed to solving complex problems and who thrive in a dynamic environment where no two days are the same. Your Responsibilities May Include Leverages data to solve complex problems, extract meaningful insights, and inform decision-making processes within an organization. Work at the intersection of statistics, programming, and business, using tools like machine learning, data mining, and predictive modeling to analyze large datasets. Gather, clean, and process data, developing and training algorithms, and present findings in a way that is understandable and actionable for stakeholders. Helps both us and our partners to optimize processes, identify trends, and develop data-driven strategies for growth and innovation.