W2 Role - No c2c
Local to MO only
Job Description:
As a Data Scientist focused on revenue management, candidates 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, candidates 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 nontechnical audiences.
- Partner with cross functional teams to implement and operationalize analytical solutions
Required:
- Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by client’s company for this position now or in the future.
- Must reside in St. Louis, Missouri, or immediate surrounding area.
- 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 nontechnical audiences.
- Must have proficiency in R or Python
- Must be committed to incorporating security into all decisions and daily job responsibilities.
Preferred:
- 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.)
