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Data Analytics Computer Science Jobs in Missouri

Master's degree in computer science, Machine Learning, Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a closely related quantitative field. * At least 3 years of ...

Master's degree in computer science, Machine Learning, Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a closely related quantitative field. * At least 3 years of ...

Data Scientist III

Cassville, MO · On-site

$90K - $180K/yr

Master's degree in computer science, Machine Learning, Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a closely related quantitative field. * At least 3 years of ...

... Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

... Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

... Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

... Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

Data Analyst Senior

Saint Louis, MO · On-site

$83K - $105K/yr

Experience • Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred. Education • Bachelor ...

Data Analyst Senior

Kansas City, MO · On-site +1

$83K - $105K/yr

Experience Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred. Education Bachelor's degree is ...

Data Analyst Senior

Saint Louis, MO · On-site +1

$83K - $105K/yr

Experience Four (4) years of experience in data analytics, public accounting, financial consulting, computer science or related field required. Five years is preferred. Education Bachelor's degree is ...

Bachelor's of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field * 2+ years of progressively complex data science or analytics experience ...

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Data Analytics Computer Science information

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities in Missouri are hiring for Data Analytics Computer Science jobs? Cities in Missouri with the most Data Analytics Computer Science job openings:
Data Scientist III

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,802 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...What you'll do...As a Data Scientist at Walmart Global Tech, your role will involve driving initiatives across inbound, outbound, and last-mile forecasting, optimizing pricing and space, implementing MLOps solutions, and designing, developing, and deploying AI agents leveraging LLMs and advanced ML/DL models, that serve millions of our customers globally.
Key Responsibilities for Data Scientist
  • Problem Formulation & Business Collaboration: Translate complex business challenges into analytical solutions. Collaborate with cross-functional teams to define requirements, identify opportunities, and deliver scalable, data-driven solutions.
  • Data Exploration & Preparation: Identify, evaluate, and leverage diverse datasets. Ensure data quality and apply feature engineering techniques to support robust modeling and analyses.
  • Advanced AI/ML Development: Design and develop state-of-the-art algorithms, AI/ML models, and optimization techniques to generate actionable business insights. Focus on interpretability, scalability, and strategic impact.
  • Model Deployment & MLOps: Validate and monitor AI/ML models post-deployment, leveraging MLOps best practices such as CI/CD pipelines, performance tuning, and effective systems integration.
  • Research & Innovation: Conduct cutting-edge research in machine learning, AI (including generative/agentic AI), optimization, and related areas. Stay updated on advancements in academia and industry through continuous learning and literature reviews.
  • Communication & Visualization: Deliver clear, impactful insights through compelling data visualizations, reports, and presentations. Collaborate with stakeholders to ensure solutions align with organizational priorities.
What You Bring Excellent communication and stakeholder management skills, with the ability to convey modeling decisions and results to both technical and non-technical audiences. Proven experience working with cross-functional teams (engineering, product, operations) to deliver measurable impact. Expertise in Python, with proficiency in libraries such as Pandas/Polars, NumPy, PySpark, TensorFlow and/or PyTorch, and a strong understanding of GPU utilization. Extensive hands-on experience in software development, mathematical/scientific computing, and deploying large-scale AI/ML/DS solutions in parallelized cloud compute environments (ideally GCP). Strong understanding and practical application of MLOps concepts like traceability, reproducibility, and scaling, using tools such as Google Vertex, MLFlow, or ClearML. Expertise in building and orchestrating ML pipelines, ETL/ELT data pipelines, and data-driven applications at scale. Solid grasp of transformers, embeddings, and their practical applications. Practical experience with DevOps tools and practices, such as Git/GitHub/GitHub Actions and infrastructure-as-code methodologies. Nice to Have Familiarity with agentic and multi-agent frameworks (e.g., tool-use, retrieval-augmented generation, policy learning) and their production integration, including safety mechanisms and evaluation harnesses. Hands-on experience with experimentation platforms, sequential decisioning (e.g., A/B testing, contextual bandits), and designing metrics for uplift measurement. Knowledge of serverless architecture or microservices implementation (e.g., API Gateway, FastAPI, VM-hosted solutions). Background in logistics, supply chains, or delivery operations, with an ability to influence stakeholders through insight-driven storytelling.
Minimum Qualifications
  • Master’s degree in computer science, Machine Learning, Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a closely related quantitative field.
  • At least 3 years of professional experience in an ML or Optimization Model development-focused role.
Preferred Qualifications
  • PhD in Computer Science, Machine Learning Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a comparable quantitative field.
  • A history of research contributions, with publications in leading academic conferences and journals, open-source code contributions, and intellectual property generation.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...701 Respect Dr, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

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Benefits

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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