Required Skills & Qualifications
- Strong background in statistics, data analysis, and machine learning.
- Proficiency in Python or R for data analysis and modeling.
- Experience with SQL for querying and manipulating large datasets.
- Knowledge of A/B testing methodologies, statistical significance, and experiment design.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
- Strong problem-solving skills and ability to communicate complex findings to non-technical stakeholders.