Work on diverse high priority business projects to make Fabulous more data driven
Responsible for contributing effectively to the code base: building, testing, reviewing and maintaining analytics pipelines using SQL and dbt
Gradually own some aspects of the team's responsibilities
Speak up your mind and contribute proactively
Be highly autonomous and show a sense of ownership
Help mentor more junior members and share knowledge
Contribute effectively to functional documentation

University Degree in Engineering, Computer Science or Applied Mathematics
A minimum of 4 years of experience in applied Data Science with strong engineering component
At least 2 years of previous hands-on experience with Digital Marketing/User Acquisition or Product/Growth
Excellent SQL skills with previous experience building data models for analytics purposes using dbt or similar
Excellent Engineering skills (testing, clean coding, peer-reviewing, CD/CI, git workflows, agile workflows)
Self-Starter with the ability to work autonomously
Excellent written and verbal communication skills (English)
Comfortable in a remote work environment
Prior experience with some of the tools we use in our Data-Stack (Amplitude, dbt, BigQuery, Metabase) or similar
Prior experience in an agile start-up environment

Senior Data Scientist, EU Timezones

Key skills