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Optimization Staff Data Scientist Jobs (NOW HIRING)

What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived ... Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization ...

Staff, Data Scientist

Cave Springs, AR · On-site

$110K - $220K/yr

What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived ... Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization ...

What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived ... Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization ...

What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived ... Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization ...

Staff, Data Scientist

Greenland, AR · On-site

$110K - $220K/yr

What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived ... Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization ...

What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived ... Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization ...

Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived ... Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization ...

OpenX is seeking a Staff Data Scientist to join our Data Science team. Our exchange processes ... Problems at this level include auction and marketplace optimization, bidding and yield strategy ...

What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived ... Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization ...

Staff, Data Scientist

Bentonville, AR · On-site

$110K - $220K/yr

What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived ... Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization ...

What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived ... Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization ...

OpenX is seeking a Staff Data Scientist to join our Data Science team. Our exchange processes ... Problems at this level include auction and marketplace optimization, bidding and yield strategy ...

The Staff Data Scientist will be a key player in our Data Science team, spearheading AI initiatives ... This includes handling large volumes of data, optimizing model performance, and ensuring the ...

The Staff Data Scientist will be a key player in our Data Science team, spearheading AI initiatives ... This includes handling large volumes of data, optimizing model performance, and ensuring the ...

The Staff Data Scientist will be a key player in our Data Science team, spearheading AI initiatives ... This includes handling large volumes of data, optimizing model performance, and ensuring the ...

Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

The Staff Data Scientist will be a key player in our Data Science team, spearheading AI initiatives ... This includes handling large volumes of data, optimizing model performance, and ensuring the ...

Staff, Data Scientist

Lowell, AR · On-site

$110K - $220K/yr

As a Staff Data Scientist, you will be responsible for modeling complex business problems and ... Ensuring data pipelines are optimized for efficiency and accuracy. * Machine Learning Operations ...

Staff, Data Scientist

Cave Springs, AR · On-site

$110K - $220K/yr

As a Staff Data Scientist, you will be responsible for modeling complex business problems and ... Ensuring data pipelines are optimized for efficiency and accuracy. * Machine Learning Operations ...

As a Staff Data Scientist, you will be responsible for modeling complex business problems and ... Ensuring data pipelines are optimized for efficiency and accuracy. * Machine Learning Operations ...

Staff, Data Scientist

Gravette, AR · On-site

$110K - $220K/yr

As a Staff Data Scientist, you will be responsible for modeling complex business problems and ... Ensuring data pipelines are optimized for efficiency and accuracy. * Machine Learning Operations ...

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Optimization Staff Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do optimization staff data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for optimization staff data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an Optimization Staff Data Scientist do?

An Optimization Staff Data Scientist specializes in developing and implementing advanced mathematical and statistical models to solve complex business problems, often focusing on maximizing efficiency and minimizing costs. They use techniques such as linear programming, machine learning, and simulation to analyze large datasets and recommend optimal solutions. Their role typically involves collaborating with cross-functional teams, designing experiments, and interpreting data to inform strategic decisions. This position is senior-level, often guiding other data scientists and contributing to the organization’s overall data strategy.

What are the key skills and qualifications needed to thrive as an Optimization Staff Data Scientist, and why are they important?

To excel as an Optimization Staff Data Scientist, you need advanced expertise in mathematics, statistical modeling, and machine learning, often backed by a graduate degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with optimization libraries (e.g., Gurobi, CPLEX), and familiarity with big data platforms are typically required. Strong problem-solving abilities, effective communication, and collaboration skills help you translate complex analyses into actionable business strategies. These competencies are crucial for designing efficient solutions to challenging problems and driving impactful data-driven decisions within organizations.

What is the difference between Optimization Staff Data Scientist vs Data Analyst?

AspectOptimization Staff Data ScientistData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; experience with optimization techniquesBachelor's in Data Science, Statistics, or related fields; proficiency in data visualization and basic analysis
Work EnvironmentCollaborates with data science teams, focuses on model development and optimizationWorks across departments to interpret data, create reports, and support decision-making
Employer & Industry UsageTech companies, finance, logistics, e-commerceRetail, marketing, healthcare, finance

The Optimization Staff Data Scientist specializes in developing and applying advanced optimization models to improve processes, while Data Analysts focus on interpreting data and generating reports. Both roles require strong analytical skills, but the Data Scientist role emphasizes technical modeling and algorithm development, making it more technical and specialized.

How does an Optimization Staff Data Scientist typically collaborate with cross-functional teams to implement data-driven solutions?

As an Optimization Staff Data Scientist, you will regularly work alongside engineers, product managers, and business stakeholders to design and deploy optimization models. Communication is key, as you’ll need to translate complex analytical findings into actionable recommendations for non-technical team members. Collaboration often includes participating in sprint meetings, sharing progress on experiments, and iterating on solutions based on feedback. This cross-functional partnership ensures that your models are both technically sound and aligned with business goals, leading to greater impact and adoption.
Infographic showing various Optimization Staff Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Staff, Data Scientist

Staff, Data Scientist

Walmart

Tontitown, AR

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,657 frontline employees who took The Breakroom Quiz

23rd of 39 rated national retailers


Job description

Position Summary...What you'll do...As a Staff Data Scientist, you'll have the opportunity to Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Lead a team of Data Scientists to solve problems in Global Sourcing domain using advanced Machine Learning and Gen AI. Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights
About the team International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart’s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop.
What You’ll Do Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Guides data scientists and senior data scientists across the domain DS team to ensure on-time delivery of ML products Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products. Proactive identification of complex business problems that can be solved using advanced ML and Generative AI, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution Quantifies business impact and ensures regular impact measurement of all ML products in the domain. Identifies and reviews model evaluation metrics based on analytical requirements Ensures testing information is documented and maintained by the team Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Proactively engages in the external community to build Walmart's brand and learn more about industry practices Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
What You’ll bring Bachelor's with > 10 years /Masters > 8 years /Ph.D. in Comp Science/Statistics/Mathematics/Quantitative discipline with > 5 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. Ability to lead data science projects end to end. Strong experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms, Generative AI models. Experience in analyzing complex problems and translating them into analytical solutions. Experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Recommendation models, deep-learning, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation Ability to utilize data science solutions outcomes to drive predictive and prescriptive analytics. Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Ability to scale and deploy data science solutions. Experience in LLMs, VLMs, embedding generation from multimodal data, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Strong Experience in Python, PySpark, OpenCV, Python, C++, Keras, tensorflow, pytorch, big data platforms like Hadoop Google Cloud platform, Vertex AI, Kubeflow, model deployment, Kafka streaming, API development & deployment, CI/CD, MLOPs 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 $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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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...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.

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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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