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Graph Neural Networks Postdoctoral Jobs (NOW HIRING)

Staff, Data Scientist

Springdale, AR · On-site

$110K - $220K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Data Scientist III

Springdale, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Data Scientist III

Johnson, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Data Scientist III

Bentonville, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Senior, Data Scientist

Farmington, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Staff, Data Scientist

Tontitown, AR · On-site

$110K - $220K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Staff, Data Scientist

Cave Springs, AR · On-site

$110K - $220K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Data Scientist III

Noel, MO · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Senior, Data Scientist

Centerton, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Senior, Data Scientist

Pea Ridge, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Experience with graph neural networks (PyG/DGL), spatiotemporal GNNs, or temporal graph learning. * Experience with causal inference or decision-focused forecasting (uplift, impact estimation ...

Senior, Data Scientist

Johnson, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Senior, Data Scientist

Cave Springs, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Senior, Data Scientist

Fayetteville, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Data Scientist III

Pea Ridge, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Senior, Data Scientist

Springdale, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

Data Scientist III

Centerton, AR · On-site

$90K - $180K/yr

You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection ...

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Showing results 1-20

Graph Neural Networks Postdoctoral information

See salary details

$25K

$59K

$83.5K

How much do graph neural networks postdoctoral jobs pay per year?

As of Jun 25, 2026, the average yearly pay for graph neural networks postdoctoral in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Graph Neural Networks Postdoctoral researcher, and why are they important?

To thrive as a Graph Neural Networks Postdoctoral researcher, you typically need a PhD in computer science, applied mathematics, or a related field with a strong background in machine learning and deep learning. Expertise in Python, PyTorch or TensorFlow, and familiarity with graph libraries such as DGL or PyTorch Geometric are often required. Strong analytical thinking, creativity, and effective scientific communication are important soft skills for advancing research and collaborating with interdisciplinary teams. These capabilities are essential for developing novel research, publishing impactful papers, and contributing to cutting-edge advancements in graph-based AI.

What are Graph Neural Networks Postdoctoral positions?

Graph Neural Networks (GNN) Postdoctoral positions are advanced research roles for individuals who have recently earned a PhD and wish to specialize in the study and development of neural network models that operate on graph-structured data. These positions typically involve conducting original research, publishing papers, collaborating with other researchers, and sometimes teaching or mentoring students. GNN postdocs often work on problems such as social network analysis, molecule property prediction, or recommendation systems, leveraging advanced machine learning techniques. They are usually offered by universities, research institutes, or industry labs and last for one to three years. Applicants are expected to have a strong background in machine learning, deep learning, and graph theory.

What is the difference between Graph Neural Networks Postdoctoral vs Data Scientist?

AspectGraph Neural Networks PostdoctoralData Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often a PhD is preferred
Work EnvironmentAcademic or research institutions, labs, universitiesCorporate, tech companies, startups, or consulting firms
Industry UsageResearch-focused, developing new algorithms and modelsApplying data analysis, modeling, and visualization to business problems
Common Search/ComparisonYesYes

The main difference between a Graph Neural Networks Postdoctoral and a Data Scientist lies in their focus and environment. The postdoctoral role is research-oriented, often in academia, emphasizing developing new algorithms. In contrast, data scientists typically work in industry, applying existing models to solve practical business problems. Both roles require strong analytical skills, but their career paths and daily tasks differ significantly.

What are some common challenges faced by a Graph Neural Networks Postdoctoral researcher when transitioning from traditional machine learning to GNN-based research?

As a Graph Neural Networks Postdoctoral researcher, one of the primary challenges is adapting to the unique data structures and representation methods required for graph-based learning, which differ significantly from traditional tabular or image data. Additionally, you may encounter difficulties in scaling GNN models to large, real-world graphs and ensuring efficient training and inference. Collaboration with interdisciplinary teams, such as domain experts in biology or social networks, is often crucial for designing meaningful experiments and interpreting complex results. Staying up-to-date with the rapidly evolving GNN literature and open-source tools is also essential for success in this role.
Infographic showing various Graph Neural Networks Postdoctoral job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Staff, Data Scientist

Sam's Club

Springdale, AR • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Sam's Club rating

6.4

Company rating: 6.4 out of 10

Based on 1,980 frontline employees who took The Breakroom Quiz

17th of 39 rated national retailers


Job description

Position Summary...We are looking for a Staff Data Scientist to join Sam’s Club fraud detection team. As a Staff Data Scientist, you will be responsible for owning fraud risks in various product segments and being a strategic partner to product & business teams. You will be tasked to set goals, create strategy, and closely collaborate with product managers, engineers and business stakeholders. You’ll be responsible for detecting changed fraud trends, building and implementing ML models with high-dimensional, fast moving real time dataset and driving innovation in detecting & preventing fraud across various channels. You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs), network-based modeling, and Generative AI (GenAI) techniques to enhance detection accuracy, accelerate investigations, and improve model explainability and decision intelligence.What you'll do...
  • Use machine learning to develop models for fraud detection in areas such as E-Commerce & In-club payment fraud, Return abuse, Account takeover (ATO) etc.
  • Design and implement graph-based fraud detection systems, including link analysis, entity resolution, and Graph Neural Network (GNN) models to detect coordinated fraud rings and network-level risk signals.
  • Leverage Generative AI techniques (e.g., LLMs and Agentic workflows) to enhance fraud detection, automate investigation workflows, generate risk narratives, and improve model explainability.
  • Partnering with business and technical stakeholders to translate fraud business problems into data science solutions.
  • Work on highly-scalable ML models and algorithms in big data mining, graph modeling & other domains.
  • Work with engineering teams to implement model pipeline and deploy the service at scale.
  • Swiftly respond to system issues and deep dive into root cause analysis
What you'll bring:
  • Industry experience in building production machine learning systems at scale.
  • Experienced with languages used to manipulate data and draw insights from large data sets (e.g. Python, SQL, etc.)
  • Experience working with large data sets and distributed computing tools (PySpark/GCP/BigQuery).
  • Hands-on experience or strong familiarity with Graph Neural Networks (GNNs), graph embeddings, or large-scale graph processing frameworks.
  • Experience exploring or applying Generative AI / LLM-based approaches for decision intelligence, feature generation, workflow automation, or explainability.
  • Experience in fraud risk solutions is desirable
  • Experience in working with cross-functional product and engineering teams to understand requirements and incorporate them in the roadmap.

About Walmart General/Not Function Specific
Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners. Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Sam’s Club is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
At Sam's Club, 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, parental leave, family care leave, bereavement, jury duty, and voting. 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.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company 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 $110,000.00 - $220,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location). At Sam's Club, 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, parental leave, family care leave, bereavement, jury duty, and voting. 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.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company 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 $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).

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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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred 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, PhD 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...2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, 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.

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