Data Scientist – Revenue Forecasting & Optimization (St. Louis or Surrounding Areas)As a Data Scientist focused on revenue management, you will design and deploy advanced deep learning models to forecast demand. These models will support branch-level decision-making and help 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.ResponsibilitiesCollaborate with cross-functional teams to design and deliver analytical solutions that drive business impactExtract, clean, and manipulate structured and unstructured data from multiple sourcesPerform exploratory data analysis to identify patterns, trends, and insightsDevelop predictive models to support data-driven decision-makingDesign and oversee experiments, ensuring accurate execution and interpretation of resultsApply causal inference techniques using observational data to uncover key relationshipsPrepare and deliver clear documentation of methodologies, findings, and recommendationsCreate and present reports and presentations for both technical and non-technical audiencesPartner with stakeholders to implement and operationalize analytical solutionsRequired QualificationsMust be authorized to work in the U.S. without current or future sponsorship requirementsMust reside in the St. Louis, Missouri area or surrounding regionMaster's degree in a statistical or mathematical field (e.g., Engineering, Statistics, Social Sciences)2+ years of experience with predictive modeling, statistical inference, and deep learningExperience with deep learning frameworks such as TensorFlow or PyTorchExperience presenting to technical and non-technical audiencesProficiency in Python or RStrong commitment to incorporating security into all decisions and daily responsibilitiesPreferred QualificationsPhD in a statistical or mathematical field (e.g., Engineering, Statistics, Social Sciences)Experience designing and running experimentsExperience with data exploration and visualizationExperience working in Linux/Unix environmentsExperience using SQLExperience working with data from a variety of sources and formatsExperience applying causal inference techniques (e.g., matching, weighting)Everforth Apex is a world-class IT services company that serves thousands of clients across the globe.
When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.Everforth Apex Systems is an equal opportunity employer.
We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.