Solve complex business problems and deliver commercial value by performing exploratory data analysis, building models, and designing and analyzing experiments at Pilot Company
Requirements
- Master’s degree or equivalent experience in fields such as statistics, econometrics, business analytics, data science, etc.
- Minimum of 3-5 years of relevant industry experience (exploratory data analysis, model building, causal inference, etc.)
- Experience deploying and maintaining productionized data science models a plus
- Experience in ML, statistics, optimization or related fields required
- Deeper experience in working with large data sets, simulation/optimization/distributed computing tools is a plus
Responsibilities
- Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance
- Perform analyses in areas such as loyalty/consumer analytics, time series forecasting, price elasticity and optimization, clustering, and causal inference
- Build models using techniques such as regression, logistic regression, and additional machine learning models
- Collaborate with data engineering to define feature requirements and data quality tests
- Coordinate with machine learning engineers to scale and maintain data science solutions
- Ability to measure the impact of data science solutions
Other
- Model behaviors that support the company’s common purpose; ensure guests and team members are supported at the highest level
- Ensure all activities are in compliance with rules, regulations, policies, and procedures
- Ability to maintain own expertise in current technical field by engaging in opportunities for professional development and is a resource for colleagues with less experience
