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Applied Math Degree Jobs in Missouri (NOW HIRING)

Bass Pro Shops

Lead Engineer AI/ML - Onsite

Springfield, MO · On-site

$93K - $122K/yr

Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related technical field, or ...

Biomerieux

Sr. Data Scientist

Hazelwood, MO · On-site

Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data ... Bachelor degree required - Data Science, Applied Mathemetics/Statistics, Electrical Engineering ...

Kohl's

Bachelor's Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field * 3+ years of progressively complex data science experience * Extensive ...

bioMerieux Inc.

Sr. Data Scientist

Hazelwood, MO · On-site

Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data ... Bachelor degree required - Data Science, Applied Mathemetics/Statistics, Electrical Engineering ...

bioMerieux

Sr. Data Scientist

Hazelwood, MO · On-site

Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data ... Bachelor degree required - Data Science, Applied Mathemetics/Statistics, Electrical Engineering ...

BioFire Diagnostics

Sr. Data Scientist

Hazelwood, MO · On-site

Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data ... Bachelor degree required - Data Science, Applied Mathemetics/Statistics, Electrical Engineering ...

Kohl's

Bachelor's Degree in quantitative areas such as Applied Mathematics, Data Science or a related field * 5+ years of relevant analytics experience * Experience coding in general-purpose languages ...

bioMérieux

Sr. Data Scientist

Hazelwood, MO · On-site

Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data ... Bachelor degree required - Data Science, Applied Mathemetics/Statistics, Electrical Engineering ...

Kohl's

$79K - $98K/yr

Master's Degree or Ph.D in the hard sciences, computer science, engineering or other applicable field * 4+ years of relevant Data Science, Applied Mathematics, and/or IT experience Essential ...

Kohl's

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field * 5+ years (or 2+ years with a Master's degree) of progressively ...

Pwc

Risk Modeling Services P&C - Director

Kansas City, MO · On-site

$134K - $410K/yr

... Degree in Actuarial Science, Applied Mathematics, Mathematical Statistics, Mathematics, Statistics, Economics - At least 8 years of experience - Fellow of the Casualty Actuarial Society What Sets You ...

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Showing results 41-60

All JobsApplied Math Degree JobsApplied Math Degree Jobs in Missouri

Applied Math Degree information

See Missouri salary details

$21.1K

$55.2K

$88.6K

How much do applied math degree jobs pay per year?

As of Sep 4, 2026, the average yearly pay for applied math degree in Missouri is $55,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,200.00 and $65,700.00 per year, depending on experience, location, and employer.

What is the difference between Applied Math Degree vs Data Analyst?

AspectApplied Math DegreeData Analyst
Required CredentialsBachelor's in Applied Math or related fieldBachelor's in Statistics, Math, or related field
Work EnvironmentResearch, academia, finance, engineeringBusiness, finance, healthcare, tech companies
Employer & Industry UsageUniversities, research labs, industries needing quantitative analysisCorporations, consulting firms, government agencies

Applied Math degrees focus on mathematical modeling and problem-solving across various industries, often involving research and theoretical work. Data Analysts primarily interpret data to help organizations make informed decisions, using statistical tools and software. While both roles require strong math skills, Applied Math graduates often pursue research or specialized roles, whereas Data Analysts work directly with data to generate insights in business settings.

Is an applied math degree useful?

An applied math degree is useful for careers in data analysis, finance, engineering, and technology, as it provides strong problem-solving, analytical, and quantitative skills. Graduates often find opportunities in industries that rely on modeling, statistical analysis, and computational tools, and the degree can lead to roles requiring programming languages like Python or MATLAB. Its versatility makes it valuable across many sectors, especially when combined with internships or certifications.

Is applied math in demand?

Applied math degrees are in demand across industries such as finance, data analysis, engineering, and technology, where skills in modeling, statistics, and programming are valued. Professionals with this background often find opportunities in research, analytics, and problem-solving roles, especially when combined with programming languages like Python or MATLAB.

What jobs do you get with applied math degree?

An applied math degree prepares individuals for roles such as data analyst, operations researcher, financial analyst, actuary, or software developer. These jobs often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software, mathematical modeling, or data visualization tools.

What are popular job titles related to Applied Math Degree jobs in Missouri?

For Applied Math Degree jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Applied Math Degree jobs in Missouri look for?

The top searched job categories for Applied Math Degree jobs in Missouri are:

What cities in Missouri are hiring for Applied Math Degree jobs?

Cities in Missouri with the most Applied Math Degree job openings:

Applied Math Degree jobs near you
Infographic showing various Applied Math Degree job openings in Missouri as of August 2026, with employment types broken down into 90% Full Time, 5% Temporary, and 5% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $55,189 per year, or $26.5 per hour.

Lead Engineer AI/ML - Onsite

Bass Pro Shops

Springfield, MO • On-site

$93K - $122K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Bass Pro Shops rating

6.4

Company rating: 6.4 out of 10

Based on 439 frontline employees who took The Breakroom Quiz

17th of 39 rated national retailers

Job description

We are seeking a Machine Learning Engineer to join the Information Technology organization at our corporate office in Springfield, MO.
The Machine Learning Engineer designs, builds, tests, and optimizes machine learning systems that support enterprise AI initiatives across the business. This role is responsible for developing production-ready model code, inference logic, and reusable ML components that convert approved enterprise data into reliable operational signals, recommendations, automations, or insights.
This position works closely with AI leadership, Data Science, MLOps, Data Engineering, Product/Delivery, Security, Privacy, Store Operations, Merchandising, and other cross-functional partners to implement practical AI solutions. The role must balance model quality, latency, cost, privacy, maintainability, and operational usefulness.
This position requires working onsite in our Springfield, MO headquarters. Occasional travel to field locations may be required.
ESSENTIAL FUNCTIONS:
  • Design, develop, and evaluate machine learning models and inference pipelines for enterprise AI use cases across retail, operations, merchandising, customer experience, supply chain, and corporate functions.
  • Build production-quality Python code for model training, evaluation, preprocessing, postprocessing, inference services, and reusable model components.
  • Partner with Data Scientists to define ground truth datasets, labeling requirements, evaluation metrics, confidence thresholds, and acceptable error tradeoffs.
  • Partner with MLOps / Cloud ML Engineering to package, register, deploy, monitor, and optimize models in cloud, edge, or hybrid environments.
  • Evaluate and select model architectures, pretrained models, fine-tuning approaches, and inference strategies appropriate for the business problem and operating environment.
  • Prepare and transform approved structured and unstructured data for model development while following privacy, retention, and acceptable-use constraints.
  • Build or integrate data labeling, sampling, augmentation, and validation workflows needed for model development and evaluation.
  • Optimize inference performance for latency, cost, throughput, reliability, and deployment target.
  • Implement model output schemas and event metadata structures in partnership with Data Engineering and API/application teams.
  • Integrate model outputs with APIs, event streams, dashboards, reports, applications, or other approved enterprise presentation layers.
  • Write automated tests for model code, preprocessing logic, inference services, schema contracts, and regression checks.
  • Troubleshoot model failures caused by data quality, domain shift, operational changes, drift, or degraded source data.
  • Document model assumptions, limitations, dependencies, reproducibility steps, evaluation results, and production readiness criteria.
  • Support responsible AI practices, including PII minimization, privacy-aware design, model explainability where practical, and secure handling of approved enterprise data.
  • Contribute to architecture decision records, model cards, technical runbooks, documentation, and reusable engineering standards.
  • ALL OTHER DUTIES AS ASSIGNED.

EXPERIENCE/QUALIFICATIONS:
Minimum Degree Required: Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Computer Engineering, Applied Mathematics, or a related technical field, or equivalent experience.
  • 8+ years of experience in software engineering, machine learning engineering, applied AI engineering, or production ML systems.
  • 5+ years of hands-on experience building, training, fine-tuning, or deploying machine learning models in applied business environments.
  • Strong proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, OpenCV, or equivalent tools.
  • Experience with one or more ML domains such as natural language processing, forecasting, classification, recommendation systems, optimization, anomaly detection, multimodal AI, or generative AI.
  • Experience building production-quality APIs, services, or batch/streaming inference components.
  • Experience with Git, automated testing, code review, containerization, and collaborative engineering practices.
  • Familiarity with model optimization and deployment formats or tooling such as ONNX, TensorRT, OpenVINO, quantization, batching, or similar techniques preferred.
  • Familiarity with Azure Machine Learning, Azure AI services, Databricks, MLflow, or equivalent cloud ML platforms preferred.
  • Familiarity with event-driven architectures, REST APIs, message queues, data lakes, and metadata/event pipelines preferred.
  • Experience with distributed inference, real-time AI systems, high-throughput event processing, or enterprise integration patterns preferred.
  • Experience working with security, privacy, and governance requirements for sensitive operational data preferred.

KNOWLEDGE, SKILLS, AND ABILITY:
  • Strong software engineering fundamentals and ability to build maintainable ML systems beyond notebooks.
  • Strong understanding of the machine learning lifecycle, including data preparation, training, evaluation, deployment, monitoring, and retraining.
  • Strong understanding of model failure modes in real-world environments.
  • Ability to make practical model tradeoffs across accuracy, latency, cost, privacy, reliability, and maintainability.
  • Ability to translate business use cases into technical model requirements without over-scoping the solution.
  • Ability to collaborate effectively with Data Scientists, MLOps Engineers, Data Engineers, platform teams, and business stakeholders.
  • Ability to document model behavior and limitations clearly for both technical and nontechnical audiences.
  • Proficiency with Git-based development workflows and Agile delivery practices.
  • Commitment to responsible and ethical AI development aligned with company standards.

TRAVEL REQUIREMENTS:
Occasional travel, up to 10%, may be required for field observation, technical validation, troubleshooting, or stakeholder workshops.
PHYSICAL REQUIREMENTS:
Regularly completes computer work and sits.
Occasionally walks and stands.
Seldomly or never lifts up to 50lbs.
INDEPENDENT JUDGEMENT:
Performs duties within scope of general company policies, procedures, and objectives. Analyzes problems and performs needs assessments. Uses judgment in adapting broad guidelines to achieve desired result. Regular exercise of independent judgment within accepted practices. Makes recommendations that affect policies, procedures, and practices.
Full Time Benefits Summary:
Enjoy discounts on retail merchandise, our restaurants, world-class resorts and conservation attractions!
  • Medical
  • Dental
  • Vision
  • Health Savings Account
  • Flexible Spending Account
  • Voluntary benefits
  • 401k Retirement Savings
  • Paid holidays
  • Paid vacation
  • Paid sick time
  • Bass Pro Cares Fund
  • And more!

Bass Pro Shops is an equal opportunity employer. Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.
Reasonable Accommodations
Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.
If you need a reasonable accommodation for any part of the application process, please visit your nearest location or contact us at hrcompliance@basspro.com.
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