Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8+ years work experience and a Master's degree).
Experience with statistical data analysis, modeling, experimentation, or causal inference to solve product and business problems.
Preferred qualifications:
Experience in extracting large sets of data with SQL and in designing ETL flows.
Strong programming skills in Python or R.
Track record of solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.
Demonstrated expertise in developing AI/ML applications from inception to completion.