Data Scientist

. This position will require employees to come on site to one of our St. Louis campus locations a few times per year for meetings/events or as needed. #LI-REMOTE

We are committed to a fair and transparent hiring process. Candidates should expect identity verification, video interviews, technical validation of skills, and verification of employment, education, and work authorization. Falsification of information, proxy interviewing, or misrepresentation of experience or location will result in disqualification.

Responsibilities

As a Data Scientist focused on revenue management, you will design and deploy advanced deep learning models to forecast demand. These models will enable branch-level decision-making, helping maximize revenue by leveraging historical trends and predictive analytics. In this role, you will collaborate closely with cross-functional teams to develop and implement analytical solutions that drive measurable business impact.

• Collaborate with the team to design and deliver analytical solutions that drive business impact
• Extract, clean, and manipulate structured and unstructured data from multiple sources
• Perform exploratory data analysis to identify patterns, trends, and insights
• Develop predictive models to support data-driven decision-making
• Design and oversee experiments, ensuring accurate execution and interpretation of results
• Apply causal inference techniques using observational data to uncover relationships
• Prepare and deliver clear documentation of methodologies, findings, and recommendations
• Create and present insightful reports and presentations for technical and non-technical audiences
• Partner with cross-functional teams to implement and operationalize analytical solutions

Equal Opportunity Employer/Disability/Veterans

Qualifications

:

• Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
• Must reside in the United States (does not include Alaska or Hawaii)
• Must be able to work a schedule within U.S. Central Standard Time core business hours.
• Must have a Master's Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
• Must have two (2+) years of experience with predictive models, statistical inference and deep learning
• Must have experience using libraries like tensorflow or pytorch
• Must have experience preparing and giving presentations to technical and non-technical audiences
• Must have proficiency in R or Python
• Must be committed to incorporating security into all decisions and daily job responsibilities

:

• Doctorate Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
• Experience designing experiments
• Experience exploring and visualizing data
• Experience using Linux/Unix
• Experience using SQL
• Experience working with data (merging, recording, etc.) from a variety of sources/formats
• Experience working with observational data to attempt causal inference (e.g. matching, weighting, etc.)