Master's degree in Statistics, Mathematics, Bioinformatics, Economics, a quantitative field, or equivalent practical experience.
4 years of experience in a data science field.
Experience with statistical software (e.g., R, Python, MATLAB) and database languages (e.g. SQL).
Experience leveraging data insights into storytelling for business stakeholders.
Preferred qualifications:
PhD in Statistics or a related quantitative discipline.
5 years of experience in statistical data analysis (e.g., generalized linear models, multivariate analysis, clustering or segmentation, and sampling methods).
Experience in controlled experiment design and causal inference methods.
Experience with machine learning on computing systems (e.g., Hadoop, MapReduce, or a similar system).
Ability to prioritize requests, teach others, learn techniques, partner in a environment with competing demands, collaborate with stakeholders, and communicate analysis insights to non-technical audiences.
Ability to take initiative with excellent leadership and communication skills.