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