Senior Data Scientist (EU Timezones Only)

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 (aka UA) or Product/Growth. Excellent SQL skills with previous experience building data models for analytics purposes using dbt or similar tools. Excellent Engineering skills (testing, clean coding, peer-reviewing, CD/CI, git workflows, agile workflows, etc.). Self-Starter with the ability to work autonomously and manage projects fully. Excellent written and verbal communication skills (English). Comfortable in a remote work environment. Prior experience with some of the tools used in our Data-Stack (Amplitude, dbt, BigQuery, Metabase) or similar ones. Prior experience in an agile start-up environment.

You will work on diverse high priority business projects to make Fabulous more data driven. Those projects will be in close collaboration with business teams and will aim for clear and tangible business impact like improving accuracy of metrics, analytically exploring new growth perspectives, building well-tested analytics reporting pipelines, investigating and correcting data discrepancies, applying statistics and ML effectively. You will be responsible for contributing effectively to our code base: building, testing, reviewing and maintaining solid analytics pipelines using SQL and dbt. Help managing TechDebt and improving engineering practices and the project's architecture are also important responsibilities for this role. You are expected to gradually own some aspects of the team's responsibilities (some parts of the code base, become the main point of contact with at least one business team, have a strong saying in how the analytics project's architecture should evolve, contribute to team's evolution and continuous growth). You will be expected to speak up your mind and contribute proactively and effectively to improving the team's practices, cohesion, impact and mission. You are expected to be highly autonomous and show a sense of ownership and ability to effectively manage your own projects and stakeholders. This should be fulfilled with minimum guidance from the Head of Data & Analytics. You will help mentoring more junior members and sharing knowledge and practices within the team to level up everyone's skills. You are expected to contribute effectively to our functional documentation in a way that is clear, concise and useful for future collaborators and readers.