Data Engineer

We are looking for a Data Engineer for our new Customer Recommender squad. You will play a crucial role in the entire product development lifecycle, from concept to evaluation, by transforming complex data into actionable insights for our ML-driven products.

Responsibilities & Mission

• Building and maintaining dashboards tailored to the target audience to track key KPIs and in-depth reports for a heavy ML-driven product;
• Digging into data to uncover new use cases and identify potential areas for improvement;
• Leading the team’s experimentation practice;
• Identifying and assisting with resolving data quality issues for accurate tracking and reporting;
• Collaborating closely with product teams and stakeholders to enable data-driven processes;
• Developing new KPIs as needed;
• Promoting and educating product teams and (potential) stakeholders about data usage.

Qualifications & Skills Set

• 5 years of experience
• Proficient in Python for conducting ad-hoc and exploratory data analyses, primarily using Jupyter notebooks
• Advanced SQL and query optimization knowledge, preferably in BigQuery;
• Proven experience with visualizing data in an insightful way for the right audience with Looker Studio, Microstrategy, Tableau, Looker or other dashboarding tools;
• Proven experience with A/B testing (preferably server-side testing), including experiment design, technical setup and statistical evaluation of results (e.g., in Growthbook, Bayesian statistical engine);
• Strong statistical knowledge (e.g., data distributions, parametric and non-parametric statistical tests, type I and II errors and summary statistics, regression and tree-based models; time series analysis and Bayesian statistics would be a plus);
• Strong analytical and critical thinking skills;
• Strong communication skills with proven experience translating complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders;
• Solid understanding of version control with Git;
• Experience with Google Cloud Platform analytical technologies

Nice to have:

Good understanding of recommender systems is a plus;