The Role:
- Checking the impact and statistical significance of the changes we introduce – usually in the form of A/B tests.
- Providing ad hoc and exploratory analyses leading to better understanding of how customers interact with our service. You will not build business reports.
- Discussing the outcomes of the analysis with Product managers and thus affecting the immediate choices in how our service evolves.
Skills and Experience: Experience
- Passion for data and understanding how to manage it.
- Experience processing, analyzing and visualizing data.
- We work mostly with SQL and Python (especially using pandas andplotly), but we welcome anyone with similar experience (R, Matlab, SAGE or other statistical languages).
- Attention to detail, patience to answer questions and dig deeper.
- Willingness to learn and explore.
- Good communication skills in English.
- Knowledge of Spark, Delta Lake, or other open-source big-data tools, and distributed computing of large-scale data.
- Experience with development and validation of machine learning models.
- Good understanding of hypothesis testing (e.g.various statistical significance tests).