Qualifications :
- A wealth of experience in using querying language (e.g. SQL) and scripting language (Python) with understanding of Spark, experiencing of utilising GPU (e.g. RapidsAI, CUDA) for is a plus.
- Understanding of A/B tests and its statistical concepts, including Bayesian statistics, with experience in designing and interpretation of A/B test results
- Having a comprehensive understanding of distributed systems, data modeling, and scientific methods. Highly proficient in descriptive statistics and inferential statistics
- Good presentation and communication skills in explaining data, as we often engage non-data-savvy stakeholders
- Having inquisitive mindset- should be ready to dive into the unknown, discover, and share findings with others, while employing critical thinking and detail-oriented focus to solve ambiguous and unstructured problems
What you will do with us :
- Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to aid in the development of strategies for our products, define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
- Validate hypotheses – generate test hypotheses, validate opportunities and recommend actions that can have positive improvements in customer experience and business KPIs.
- Test Analysis – Drive proper A/B analysis with statistical rigor and perform cohort studies to answer “why?” on test result drivers. Ideate more complex tests from an analytical and insightful reporting perspective.
- Develop automated data workflows and dashboards to monitor ongoing test performance/results, with maintaining key data artifacts and lineage (e.g., ETL, data models, queries)
- Utilizes relevant visualization tools (Tableau/PowerBI/Superset/etc) to help track metrics and investigate data anomalies, and further segment metrics along suitable dimensions to reveal deeper dynamics
- Dive deeply into technical and operational details of the business (e.g., key dependencies, business drivers/KPIs, develop actionable business insights, etc.) and contribute to constructive technical discussions
- Explore and test more technically/computationally efficient solutions. Know how to ingest, process, and analyze data.
- Improve dataset quality and automate manual processes
- Provides insights and solutions that inform the product team’s business decisions
- Communicate proposals, and findings with stakeholders and document through wiki for further consumption and distribution
This position is based in South Korea (Relocation Provided)