Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
A Bachelor's degree in engineering or computer science is required. Candidates should have experience in building advanced analytic algorithms, including machine learning, AI, and optimization. Familiarity with data science tools and methodologies is essential. Experience working with business partners and cross-functional teams is also necessary.
The Data Scientist will be responsible for building and implementing advanced analytic algorithms within a Data Science program. They will work with business partners to integrate these algorithms into business processes and activate them directly. This role involves providing technical leadership for innovation projects, developing new analytics and predictive modeling methods, and proposing prescriptive analytic models for process control. The Data Scientist will also collaborate with process authorities and IT to develop and maintain data models and pipelines, define deployment processes for analytical architectures, and conduct research on analytical modeling products and standards. Additionally, they will identify and resolve performance issues with prognostics models and leverage reliability engineering with data science to reduce losses.