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Computer Science Phd Research Intern Jobs in Springdale, AR

Data Scientist III

Noel, MO · On-site

$90K - $180K/yr

Preferred Qualifications PhD in Computer Science, Machine Learning Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a comparable quantitative field. A history of ...

Data Scientist III

Rogers, AR · On-site

$90K - $180K/yr

Preferred Qualifications PhD in Computer Science, Machine Learning Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a comparable quantitative field. A history of ...

Data Scientist III

Bella Vista, AR · On-site

$90K - $180K/yr

Preferred Qualifications PhD in Computer Science, Machine Learning Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a comparable quantitative field. A history of ...

Data Scientist III

Pea Ridge, AR · On-site

$90K - $180K/yr

Preferred Qualifications PhD in Computer Science, Machine Learning Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a comparable quantitative field. A history of ...

Data Scientist III

Elm Springs, AR · On-site

$90K - $180K/yr

Preferred Qualifications PhD in Computer Science, Machine Learning Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a comparable quantitative field. A history of ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

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Showing results 1-20

Computer Science Phd Research Intern information

See Springdale, AR salary details

$1.8K

$5.7K

$6.9K

How much do computer science phd research intern jobs pay per month?

As of Jul 17, 2026, the average monthly pay for computer science phd research intern in Springdale, AR is $5,694.67, according to ZipRecruiter salary data. Most workers in this role earn between $3,908.33 and $6,783.33 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Science PhD Research Intern, and why are they important?

To thrive as a Computer Science PhD Research Intern, you need advanced knowledge in computer science fundamentals, research methodology, and typically be enrolled in a relevant PhD program. Experience with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and present complex ideas clearly. These skills are essential for contributing to innovative research projects, publishing findings, and succeeding in a competitive academic or industry research environment.

What does a Computer Science PhD Research Intern do?

A Computer Science PhD Research Intern typically contributes to cutting-edge research projects under the guidance of experienced mentors, often in an academic or industry setting. Responsibilities may include designing experiments, developing algorithms, conducting data analysis, and publishing findings in conferences or journals. The role is designed to provide practical research experience, sharpen technical skills, and foster collaboration with other researchers. Interns often have the opportunity to work on real-world problems and gain insights into the research and development process within the field of computer science.

What types of projects and collaborations can a Computer Science PhD Research Intern typically expect during their internship?

As a Computer Science PhD Research Intern, you will often work on advanced research projects that align with your academic interests and the organization's strategic goals. Interns typically collaborate closely with senior researchers, engineers, and sometimes cross-functional teams such as product or data science groups. Projects may involve designing experiments, developing prototypes, or publishing findings in academic venues. The environment is usually supportive of exploration and peer feedback, and you’ll have opportunities to present your work, gain mentorship, and contribute to impactful, real-world applications.
What cities near Springdale, AR are hiring for Computer Science Phd Research Intern jobs? Cities near Springdale, AR with the most Computer Science Phd Research Intern job openings:
Infographic showing various Computer Science Phd Research Intern job openings in Springdale, AR as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $68,336 per year, or $32.9 per hour.
Data Scientist III

Data Scientist III

Walmart

Noel, MO • On-site

$90K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,105 frontline employees who took The Breakroom Quiz

24th 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 America Walmart 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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Walmart logo

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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