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Remote Data Scientist Machine Learning Jobs (NOW HIRING)

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ...

As a Senior ML Data Scientist, you will own the development of cutting-edge machine learning models based on signals and transactions from hundreds of millions of users to detect and prevent fraud ...

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Remote / Hybrid / Onsite Department: Data Science & AI Job Summary We are seeking an experienced ... The ideal candidate will leverage advanced statistical analysis, machine learning, and data ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ... If you would like more information about how your data is processed, please contact us.

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ...

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

What you'll bring * 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a ... related quantitative role. * Experience in logistics, marketplaces, supply chain, operations ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Data Scientist ROLE We need an experienced Data Scientist at the Office of the Under Secretary of ... Build and implement machine learning models and/or predictive analytics. * Maintenance of ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

Showing results 21-40

Remote Data Scientist Machine Learning information

See salary details

$37.5K

$122.7K

$196.5K

How much do remote data scientist machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data scientist machine learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in machine learning?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.
More about Remote Data Scientist Machine Learning jobs
What cities are hiring for Remote Data Scientist Machine Learning jobs? Cities with the most Remote Data Scientist Machine Learning job openings:
What are the most commonly searched types of Data Scientist Machine Learning jobs? The most popular types of Data Scientist Machine Learning jobs are:
What states have the most Remote Data Scientist Machine Learning jobs? States with the most job openings for Remote Data Scientist Machine Learning jobs include:
Infographic showing various Remote Data Scientist Machine Learning job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 6% In-person, and 94% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Principal, Data Scientist (Pricing)

Walmart

Sunnyvale, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,376 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...What you'll do...Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship.
This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid options are not available. About the Role:
Walmart Global Tech is seeking a talented and experienced Principal Data Scientist specializing in Pricing Algorithms to lead our efforts in developing sophisticated pricing models and strategies. As a Principal Data Scientist, you will play a critical role in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. You will lead a team of data scientists and collaborate closely with cross-functional teams to develop and implement pricing algorithms that maximize profitability and drive business growth. About the Team: The Applied AI team researches and develops advanced algorithms that power strategic decision-making across pricing, markdown optimization, price recommendations, price elasticity, assortment optimization, supply chain, replenishment, and store layout. You will work closely with data scientists, machine learning engineers, operations research scientists, and data analysts, while collaborating with business leaders, product managers, pricing strategists, software engineers, and data engineers to build AI-driven solutions at enterprise scale.
Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and statistics to solve complex pricing and retail challenges. We develop innovative AI solutions that directly influence business strategy and customer experience, and our research is regularly published in top-tier conferences and journals. What You'll Do:
  • Strategic Leadership: Provide strategic leadership and technical expertise in the development and implementation of pricing algorithms and models. Define the vision, roadmap, and priorities for pricing optimization initiatives.
  • Algorithm Development: Lead the design, development, and deployment of advanced pricing algorithms using state-of-the-art machine learning techniques, including but not limited to regression analysis, demand forecasting, dynamic pricing, and reinforcement learning.
  • Code Review: Conduct thorough code reviews of pricing algorithms and related software components developed by the team. Ensure adherence to best practices, coding standards, and optimization techniques. Provide constructive feedback and mentorship to team members to enhance code quality and maintainability.
  • Data Analysis and Insights: Utilize large datasets to conduct in-depth analysis of customer behavior, market dynamics, and competitive pricing strategies. Extract actionable insights to inform pricing decisions and strategy formulation.
  • Model Evaluation and Optimization: Oversee the evaluation, validation, and optimization of pricing models to ensure accuracy, reliability, and performance. Implement rigorous testing methodologies to assess model effectiveness and robustness.
  • Collaboration and Stakeholder Engagement: Collaborate closely with cross-functional teams including product management, engineering, marketing, and finance to understand business objectives, requirements, and constraints. Work collaboratively to translate business needs into data-driven pricing solutions.
  • Thought Leadership: Stay abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning. Provide thought leadership and guidance on pricing strategy, methodologies, and implementation best practices.
  • Documentation and Communication: Document methodologies, findings, and recommendations in clear and concise manner. Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.
  • Mentorship and Knowledge Sharing: Mentor junior team members and provide guidance on technical and methodological aspects of pricing analytics and data science. Foster a culture of learning and knowledge sharing within the team.
What You'll Bring:
  • Ph.D. or equivalent advanced degree in Computer Science, Statistics, Mathematics, Economics, or related field.
  • Extensive experience (8+ years) in data science, machine learning, and statistical analysis, with a focus on pricing optimization.
  • Proven track record of building and deploying pricing algorithms/models in a real-world setting.
  • Expertise in programming languages such as Python, R, or Scala for data analysis and model development.
  • Strong understanding of pricing concepts, methodologies, and strategies in diverse industries.
  • Deep knowledge of machine learning algorithms and techniques, with hands-on experience in applying them to pricing problems.
  • Excellent communication and leadership skills with the ability to influence and inspire cross-functional teams.
  • Demonstrated ability to drive projects from conception to completion in a fast-paced, dynamic environment.
About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.That'swhat we do at Walmart Global Tech.We'rea team of software engineers, data scientists, cybersecurityexpertsand service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstarta great careerin tech, gain new skills and experience forvirtually everyindustry, orleverageyourexpertiseto innovate at scale,impactmillionsandreimaginethe future of retail.
Walmart's culture is a competitive advantage, andit'sfostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.We use our campuses to create purposeful connections rooted in deepening understanding and investing in the development of our associates.

Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance. Other greatperksinclude401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc. 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 unique styles, experiences, identities,ideasand opinionswhile beingwelcoming ofall people.
The above information has been designed toindicatethe general nature and level of work performed in the role. It is not designed tocontainor be interpreted as a comprehensive inventory of all responsibilities and qualificationsrequired ofemployees assigned to this job. The full Job Description can be made available as part of the hiring process.
#LI-onsite
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.
Bentonville, Arkansas US-09104: The annual salary range for this position is $110,000.00 - $220,000.00
Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- StockMinimum 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, Publications or active peer reviewer in related journals or conference, 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...2608 Se J St, Bentonville, AR 72712, 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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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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