Pilot Company is looking to solve complex business problems and deliver commercial value by leveraging data science.
Requirements
- Mastery of exploratory data analysis and data mining techniques (SQL, R, Python, Tableau, Spark)
- 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
- Experience with Databricks or other cloud-based development tools
- Experience deploying and maintaining productionized data science models a plus
- Minimum of 5-7 years of relevant industry experience (exploratory data analysis, model building, causal inference, etc.)
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 business stakeholders and strategists to identify areas of opportunity for data science solutions that will deliver commercial value.
- 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
- We are seeking applicants with a local presence in Knoxville, TN or the surrounding communities.
- This position does not support immigration sponsorship. To be considered you must have the legal right to work in United States without additional sponsorship.
- Master’s degree or equivalent experience in fields such as statistics, econometrics, business analytics, data science, etc.
- 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
