Statistical, economic, machine learning, and optimization approaches
Causal inference, statistics, machine learning, and optimization
Python or r for model development
Develop and implement advanced statistical, economic, machine learning, and optimization approaches to solve complex business problems and improve performance
Job Summary
Develop and implement advanced statistical, economic, machine learning, and optimization approaches to solve complex business problems and improve performance.
Collaborate with engineering and product teams to productionize solutions and create lasting impact.
Leverage data to understand product performance, identify improvement opportunities, and design product experiments.
Matching Summary
Develop and implement advanced statistical, economic, machine learning, and optimization approaches to solve complex business problems and improve performance.
Salary
$150,000.00 - $182,000.00 per year
Skills & Requirements
Must-have
statistical, economic, machine learning, and optimization approaches
causal inference, statistics, machine learning, and optimization
Python or R for model development
SQL for data manipulation
data pipelines for model development
Nice-to-have
time series analysis and forecasting
pricing algorithms in production
designing and analyzing online experiments
Key Requirements
Bachelor's degree in Statistics, Machine Learning, Operations Research, Economics, Computer Science, or related field
3 years of related experience
Expertise in observational causal inference, econometric, and statistical models
Proficiency in Python or R
Proficiency in SQL
Proficiency in building and managing data pipelines