Data Scientist at H&M Group in Stockholm, Sweden. You will turn large amounts of data into meaningful insights and scalable machine learning solutions that impact a global business. Collaborate with business and technology teams to identify opportunities where data science creates value, and to design, build, and deploy machine learning products that scale. You will help colleagues understand model outputs and the decisions they support, and explore complex data assets to uncover actionable business findings. Work within a cross-functional agile team of engineers, data scientists and business experts to optimize planning, forecasting and decision-making. Qualifications include a degree in applied mathematics, statistics, physics, engineering, or a similar field; solid ML and statistics foundations; experience with Python and common data science libraries; understanding of the ML lifecycle from problem definition to deployment; and ability to work in cross-functional and agile environments. Familiarity with cloud platforms (e.g., Google Cloud) and a proactive, collaborative mindset are preferred. Note: the role is based in Sweden with on-site work in Stockholm.

Data Scientist at H&M Group in Stockholm, Sweden. You will turn large amounts of data into meaningful insights and scalable machine learning solutions that impact a global business. Collaborate with business and technology teams to identify opportunities where data science creates value, and to design, build, and deploy machine learning products that scale. You will help colleagues understand model outputs and the decisions they support, and explore complex data assets to uncover actionable business findings. Work within a cross-functional agile team of engineers, data scientists and business experts to optimize planning, forecasting and decision-making. Qualifications include a degree in applied mathematics, statistics, physics, engineering, or a similar field; solid ML and statistics foundations; experience with Python and common data science libraries; understanding of the ML lifecycle from problem definition to deployment; and ability to work in cross-functional and agile environments. Familiarity with cloud platforms (e.g., Google Cloud) and a proactive, collaborative mindset are preferred. Note: the role is based in Sweden with on-site work in Stockholm.