We are looking for a data-driven and detail-oriented Data Scientist with strong expertise in A/B testing methodologies and a solid foundation in core data science concepts such as clustering, benchmarking, and predictive modeling. The ideal candidate will be passionate about experimentation, statistical inference, and data storytelling, and possess a strong SQL background for extracting and manipulating large datasets efficiently. This role will play a pivotal part in informing product decisions, optimizing user experiences, and driving measurable business impact through rigorous analysis and experimentation
Essential Responsibilities
- Develop and implement data science models and algorithms.
- Analyze and interpret complex data sets.
- Ensure data quality and integrity.
- Collaborate with stakeholders to understand data requirements.
- Optimize data processes for efficiency and performance.
- Perform advanced statistical analysis and reporting.
Minimum Qualifications
- Minimum of 2 years of relevant work experience and a Bachelors degree or equivalent experience.
Preferred Qualification
- Design, implement, and analyze A/B testing , multivariate tests, and other controlled experiments to evaluate product and marketing initiatives.
- Partner with Product Managers and Engineers to define test hypotheses, success metrics, and experimentation frameworks.
- Ensure the statistical integrity of tests, including sample size calculations, significance testing, and post-hoc analyses.
- Develop and automate dashboards and reports to communicate test outcomes and actionable insights to stakeholders.
- Proactively identify opportunities for experimentation to optimize conversion rates, engagement, and user retention.
- Maintain documentation of experiments and contribute to building a culture of data-informed decision making