Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (i.e., Python, R, SQL) or 2 years work experience with a Master's degree.
Experience with data analysis, statistical modeling, probabilistic modeling and visualization.
Nice to Haves:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
What You'll Be Doing:
Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance.
Work closely with an Applied AI team solving complex business problems using Machine Learning and Large Language Model solutions.
Perks and Benefits:
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