Build and validate machine learning models according to the best practices
Closely collaborate with Product Owner and other team members on a daily basis
Co-own ML project (along with another data scientist) from formal project approval until the decision to industrialize it
Help making sure future machine learning projects are defined sufficiently for data scientists to start working on them
Consult business colleagues in iteratively refining data science questions, recommend appropriate solution approaches and explain results
Support productive implementation of created models and monitor their performance
3-5 years of hands-on experience in IT or data analytics and strong analytical mindset
Good knowledge of SQL and data visualization skills
Basic knowledge of statistics and at least one scripting language - e.g. Python, R, SAS
Fluent English
Advanced university degree (e.g. MA/ME/MSc or higher) in any field with strong elements of data analysis
2-5 years of hands-on experience in data science
skills
Strong knowledge of machine learning, statistical inference and data manipulation
Experience in Python
Fluent English
Nice to have: experience with AWS, OOP, Spark, MLFlow, containers, data visualization