Job Details

Job Description

The purpose of this job is to solve complex business problems and deliver commercial value by performing exploratory data analysis, building models, and designing and analyzing experiments.

Essential Functions

1. Conduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance.

2. Perform analyses in areas such as loyalty/consumer analytics, time series forecasting, price elasticity and optimization, clustering, and causal inference.

3. Build models using techniques such as regression, logistic regression, and additional machine learning models.

4. Collaborate with business stakeholders and strategists to identify areas of opportunity for data science solutions that will deliver commercial value.

5. Collaborate with data engineering to define feature requirements and data quality tests.

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

7. Ability to measure the impact of data science solutions.

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

9. Maintain own expertise in current technical field by engaging in opportunities for professional development and is a resource for colleagues with less experience.

10. Model behaviors that support the company's common purpose; ensure guests and team members are supported at the highest level

11. Ensure all activities are in compliance with rules, regulations, policies, and procedures

Qualifications:
Qualifications

• 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

Additional Information

Nation-wide Medical Plan/Dental/Vision
401(k) and Flexible Spending Accounts
Employee Fuel Discount
Adoption Assistance
Tuition Reimbursement
Onsite Gym and Cafeteria
Weekly Pay

All your information will be kept confidential according to EEO guidelines