Master’s degree in a relevant quantitative field or equivalent industry experience 4-8 years of experience as a data scientist or product analyst supporting product development 1-2 years of experience as a manager, tech lead, or similar leadership role Expert in SQL Proficient in either Python or R for data analysis Extensive experience applying statistical analysis (e.g. hypothesis testing and regression analysis) Experienced in designing and analyzing A/B testing experiments Developed and deployed AI/ML applications that led to measurable business impact Proven track record of driving cross-functional initiatives from end to end Ability to turn ambiguous business problems into clearly defined data science solutions Comfortable managing a diverse group of stakeholders Effective communicator who can produce exec-ready docs and presentations