Senior Data Science Engineer Visa Sponsorship Jobs in Missouri
Senior data science engineer visa sponsorship jobs in Missouri are concentrated in St. Louis and Kansas City, where employers like MasterCard, Express Scripts, and Cerner have established data and analytics teams. The state's growing fintech sector, healthcare IT industry, and university research pipelines at Washington University and the University of Missouri support steady demand for this role.
Find Senior Data Science Engineer JobsOverview
Showing 5 of 43+ Senior Data Science Engineer Jobs in Missouri with Visa Sponsorship










See all 43+ Senior Data Science Engineer Jobs in Missouri with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Data Science Engineer Jobs in Missouri with Visa Sponsorship.
Get Access To All Jobs
INTRODUCTION
If you're looking for that next step in your career, make it famous! To us, famous isn’t about standing out in the crowd. It’s about feeling good where you stand right now. Famous Footwear is your place for athletic, fashion and casual shoes for the whole family from hundreds of name brands.
Position Summary
The Workforce Management Analyst supports the store organization by translating sales forecasts, customer traffic, transactions, fulfillment demand, promotional activity, and operational workload into practical store labor plans. This role develops and maintains labor models, evaluates scheduling effectiveness, monitors productivity and payroll performance, and converts complex data into clear recommendations for store, field, and home office partners.
The analyst serves as a cross-functional connection point among Store Operations, Field Leadership, Finance, Human Resources, Information Technology, and Omnichannel teams, balancing customer experience, store execution, workforce capacity, and disciplined labor expense management.
WHAT WE DO - ACCOUNTABILITIES
- Develops and maintains store-level labor forecasts, payroll budgets, workload standards, and recurring workforce reporting.
- Monitors planned, scheduled, and actual labor hours and dollars; identifies trends, exceptions, and root causes.
- Provides field leaders with clear insights and recommended actions related to labor planning, scheduling, productivity, fulfillment workload, and store operations.
- Maintains documentation, assumptions, business rules, metric definitions, and end-user guidance for workforce processes and tools.
- Supports annual plans, monthly forecasts, weekly labor planning, in-season reforecasts, peak periods, and ad hoc business needs.
ESSENTIAL FUNCTIONS
- Develops store labor forecasts using sales, traffic, transactions, units, operating hours, seasonality, promotional activity, fulfillment demand, and other relevant workload drivers.
- Translates enterprise sales and financial plans into weekly and daily store labor requirements and allocates approved payroll budgets to stores.
- Analyzes planned, scheduled, and actual hours and labor dollars; distinguishes volume, wage-rate, workload, scheduling, staffing-availability, and execution drivers.
- Develops and maintains workload standards for selling, checkout, shipment processing, replenishment, pricing, inventory, recovery, visual execution, opening and closing, administrative work, and digital fulfillment.
- Evaluates how store work is performed and uses operational insight to challenge assumptions, improve workload standards, and strengthen labor planning accuracy.
- Evaluates whether schedules align labor with customer demand, operating hours, delivery schedules, fulfillment volume, promotions, and task workload.
- Supports the rollout, adoption, configuration, ongoing maintenance, and performance monitoring of automated scheduling processes for retail stores, including schedule generation, rule validation, field guidance, exception management, and continuous improvement.
- Creates exception-based dashboards, scorecards, and ad hoc reporting that allow leaders to move from enterprise results to zone, district, and store-level opportunities.
- Develops and maintains recurring operational reporting, dashboards, and analysis beyond payroll and scheduling, including store performance, field execution, fulfillment activity, and other retail operations priorities.
- Monitors labor expense and productivity measures, including labor hours, labor dollars, sales per labor hour, units per labor hour, payroll rate, overtime, schedule alignment, and workload completion.
- Supports pilots involving labor deployment, scheduling, store processes, technology, operating hours, fulfillment, or customer service; defines measures, tracks results, and recommends next steps.
- Serves as a subject matter expert for workforce planning, payroll budgets, scheduling analytics, reporting, and related store operations topics.
- Manages recurring deliverables and responds to field and home office questions with timely, clear, and accurate guidance.
CROSS-FUNCTIONAL PARTNERSHIP
- Partners with Store Operations and Field Leadership to understand operating realities and convert analysis into practical field actions.
- Partners with Finance on labor budgets, forecasts, expense performance, reconciliations, and benefit validation.
- Partners with Human Resources on scheduling policies, workforce considerations, and change management.
- Works with Information Technology and workforce-management support teams on data, reporting, testing, system issues, and enhancements.
PREFERRED QUALIFICATIONS & EDUCATION
- Bachelor's degree in Business Analytics, Finance, Operations, Industrial Engineering, Economics, Statistics, Supply Chain, Business Management, or a related discipline; equivalent relevant experience considered.
- Two or more years of experience in workforce management, retail analytics, labor planning, financial analysis, operations analysis, or a related field; multi-unit retail experience preferred.
- Advanced Microsoft Excel skills, including formulas, pivot tables, lookups, data validation, structured models, and scenario analysis.
- Experience analyzing large datasets from multiple sources and translating findings into practical recommendations.
- Strong attention to detail, data integrity, problem solving, organization, prioritization, and time management.
- Ability to manage recurring deliverables and multiple concurrent projects with different scopes, requirements, and partners.
- Excellent written, verbal, presentation, and interpersonal communication skills across technical and nontechnical audiences.
- Experience with Power BI, Tableau, SQL, Python, workforce-management, scheduling, timekeeping, payroll, or labor-planning is a plus.
- Experience implementing or managing automated scheduling capabilities within a retail workforce-management system preferred; experience with Ceridian Dayforce is highly valued but not required.
- Knowledge of retail labor forecasting, scheduling, productivity, workload measurement, omnichannel fulfillment, and common retail performance metrics is preferred.
- Ability to travel periodically to stores or field locations based on business needs.
PHYSICAL REQUIREMENTS AND/OR ENVIRONMENT
- Office/cubicle or approved hybrid work environment.
Periodic work in store or field environments and travel based on business needs.
Famous Footwear is part of Caleres Inc., a diverse portfolio of 15 global footwear brands including Sam Edelman, Naturalizer, Vionic, Dr. Scholl's, Allen Edmonds, and many more. Caleres' legacy includes more than 140-years of craftsmanship, a passion for fit and business savvy, with a mission to continue to inspire people to feel great…feet first.
Caleres is an Equal Opportunity Employer by choice. We believe our company should be as diverse as the consumers we serve. We seek and engage talented individuals from all backgrounds, ethnicities, genders, lifestyles, and belief systems.
Caleres and Famous Footwear are invested in our Associates. We regularly review our pay matrices and update appropriately based on need. Starting pay is determined by several factors, including relevant skills, qualifications, and experience. The actual pay rate will equal or exceed the required minimum wage applicable to the job location. Please visit yourcaleres.com to review all associated benefits.
Fraudulent Recruiting Disclaimer: Please beware of fraudulent recruiting. Legitimate Caleres, contacts will use @caleres.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Caleres employee, please refer to our fraudulent recruiting statement found here: https://www.caleres.com/careers/be-aware-of-recruiting-fraud
Senior Data Science Engineer Job Roles in Missouri
See all 43+ Senior Data Science Engineer Jobs in Missouri
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Senior Data Science Engineer Jobs in MissouriSenior Data Science Engineer Jobs in Missouri: Frequently Asked Questions
Which companies in Missouri sponsor visas for senior data science engineers?
MasterCard and World Wide Technology in St. Louis, Cerner (now Oracle Health) in Kansas City, and Express Scripts have filed Labor Condition Applications for senior-level data science roles in Missouri. Large financial services firms, healthcare technology companies, and logistics operations in both metro areas have demonstrated patterns of sponsoring H-1B visa petitions for engineers at the senior level.
Which visa types are most common for senior data science engineer roles in Missouri?
The H-1B is the most common visa for senior data science engineers in Missouri. The role qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or applied mathematics. Candidates already holding an L-1B intracompany transfer visa or an O-1A for individuals with extraordinary ability may also find pathways through Missouri employers, depending on their background and the employer's structure.
Which cities in Missouri have the most senior data science engineer sponsorship jobs?
St. Louis and Kansas City account for the overwhelming majority of senior data science engineer sponsorship activity in Missouri. St. Louis draws from its financial services and healthcare IT sectors, while Kansas City's technology corridor, anchored by healthcare and logistics companies, generates consistent demand. Columbia and Springfield have smaller but growing tech presences, largely connected to university research and regional enterprise deployments.
How to find senior data science engineer visa sponsorship jobs in Missouri?
Migrate Mate filters job listings specifically for roles where employers are open to visa sponsorship, including senior data science engineer positions in Missouri. Rather than sorting through general job boards where sponsorship willingness is unclear, Migrate Mate surfaces opportunities at Missouri employers who have sponsored similar roles before, helping you focus your applications on companies with an established track record in this space.
Are there any Missouri-specific considerations for senior data science engineers pursuing visa sponsorship?
Missouri's prevailing wage requirements for H-1B positions are determined by the Standard Occupational Classification for the specific role and the metropolitan statistical area, so St. Louis and Kansas City have separate wage determinations. Washington University in St. Louis and University of Missouri graduates in data science and engineering fields create a local talent pipeline that Missouri employers draw from, and some academic medical centers in the state also sponsor senior technical roles under cap-exempt provisions.
What is the prevailing wage for sponsored senior data science engineer jobs in Missouri?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.