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Remote Walmart Data Science Jobs (NOW HIRING)

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities in ...

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing ...

Dallas, TX / Bentonville (Initial remote) Hire Type: Contract Client: Walmart /CTS Skills Needed: Dataiku Experience We are looking for a Data Scientist to analyze large amounts of raw information to ...

Manager, Data Science

$151K - $219K/yr

Offer work location flexibility, including remote from your home office What you can do for Expel Lead the team * Guide the data science team to work on small-to-medium scale, high-impact R&D ...

Data Scientist - 100% remote role can sit fully remote the rate is open - please ignore the rate and send what you are finding in the market. They ideally want someone with Ph.D and 0-2 yrs of ...

New

Data Science Manager New York City, Hybrid Prolific Prolific is not just another player in the AI ... Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission ...

(USA) Senior, Data Scientist

Greenland, AR · On-site +1

$90K - $180K/yr

... with Walmart U.S. stores and eCommerce to enhance customer experiences through technological innovation. We empower team members, stores, and merchants by leveraging data science and advanced ...

... with Walmart U.S. stores and eCommerce to enhance customer experiences through technological innovation. We empower team members, stores, and merchants by leveraging data science and advanced ...

... with Walmart U.S. stores and eCommerce to enhance customer experiences through technological innovation. We empower team members, stores, and merchants by leveraging data science and advanced ...

(USA) Senior, Data Scientist

Gravette, AR · On-site +1

$90K - $180K/yr

... with Walmart U.S. stores and eCommerce to enhance customer experiences through technological innovation. We empower team members, stores, and merchants by leveraging data science and advanced ...

(USA) Senior, Data Scientist

Bella Vista, AR · On-site +1

$90K - $180K/yr

... with Walmart U.S. stores and eCommerce to enhance customer experiences through technological innovation. We empower team members, stores, and merchants by leveraging data science and advanced ...

(USA) Senior, Data Scientist

Farmington, AR · On-site +1

$90K - $180K/yr

... with Walmart U.S. stores and eCommerce to enhance customer experiences through technological innovation. We empower team members, stores, and merchants by leveraging data science and advanced ...

(USA) Senior, Data Scientist

Goshen, AR · On-site +1

$90K - $180K/yr

... with Walmart U.S. stores and eCommerce to enhance customer experiences through technological innovation. We empower team members, stores, and merchants by leveraging data science and advanced ...

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Remote Walmart Data Science information

What is the difference between Remote Walmart Data Science vs Remote Walmart Data Analysis?

AspectRemote Walmart Data ScienceRemote Walmart Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; experience with machine learningDegree in Data Analysis, Business, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative remote teams focusing on predictive modeling and advanced analyticsRemote environment emphasizing reporting, data visualization, and descriptive analysis
Employer & Industry UsageUsed across Walmart for strategic insights and product recommendationsUtilized for operational reporting and business performance tracking

Remote Walmart Data Science involves developing predictive models and advanced analytics, requiring programming and statistical expertise. In contrast, Remote Walmart Data Analysis focuses on interpreting data through reports and visualizations, often with less emphasis on coding. Both roles support Walmart's data-driven decision-making but differ in technical complexity and focus.

More about Remote Walmart Data Science jobs
What cities are hiring for Remote Walmart Data Science jobs? Cities with the most Remote Walmart Data Science job openings:
What are the most commonly searched types of Walmart Data Science jobs? The most popular types of Walmart Data Science jobs are:
What states have the most Remote Walmart Data Science jobs? States with the most job openings for Remote Walmart Data Science jobs include:
Infographic showing various Remote Walmart Data Science job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Data Science Consultant

Data Science Consultant

DataAnnotation

Springfield, IL • On-site, Remote

$40/hr

Full-time

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


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr