Data Scientist

Data Scientist

Perform exploratory data analysis to identify areas of opportunity and to inform model design.

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.

Collaborate with machine learning engineers to scale and maintain data science solutions.

Ability to measure the impact of data science solutions.

Use and analyze existing data science solutions to perform tasks in a reproducible, repeatable manner.

Maintain own expertise in current technical field by engaging in opportunities for professional development and mentoring.

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.

Master’s degree or equivalent experience in fields such as statistics, econometrics, business analytics, data science, etc.

Minimum of 2 years of relevant industry experience (exploratory data analysis, model building, causal inference, etc.)