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Model Predictive Control Jobs in Arkansas (NOW HIRING)

... predictive, causal, and ML solutions. * Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control. * Work with ...

... predictive, causal, and ML solutions. * Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control. * Work with ...

... predictive, causal, and ML solutions. * Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control. * Work with ...

... predictive, causal, and ML solutions. * Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control. * Work with ...

... predictive, causal, and ML solutions. * Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control. * Work with ...

... predictive, causal, and ML solutions. * Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control. * Work with ...

... predictive, causal, and ML solutions. * Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control. * Work with ...

... predictive, causal, and ML solutions. * Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control. * Work with ...

... predictive, causal, and ML solutions. * Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control. * Work with ...

Showing results 41-60

Model Predictive Control information

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
What are popular job titles related to Model Predictive Control jobs in Arkansas? For Model Predictive Control jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Arkansas look for? The top searched job categories for Model Predictive Control jobs in Arkansas are:
Infographic showing various Model Predictive Control job openings in Arkansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

(USA) Principal, Data Scientist

Walmart

Rogers, AR • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,380 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
We are seeking a Principal Data Scientist to solve ambiguous, high-value retail problems through rigorous analytics, ML modeling, experimentation, causal inference, and deployment of scalable solutions. You will work closely with agentic AI teams to build the data science capabilities, measurement frameworks, and causal reasoning skills needed to answer users’ business-impact questions. You will shape strategy, define success metrics, validate outcomes, deploy decision-ready models and tools, and translate complex evidence into clear recommendations for product, engineering, and executive partners.
About the team:
Walmart Data Ventures powers the data and AI platform supporting the world’s largest retailer’s suppliers. The Walmart Scintilla team transforms extensive data into actionable insights, recommendations, and innovations that enhance customer, merchant, and supplier outcomes. This team leads advancements in generative AI, agentic intelligence, machine learning, measurement, and causal inference to redefine retail experiences, optimize operations, and develop new business models. Joining this team offers the opportunity to lead cutting-edge AI initiatives that set industry standards and drive significant impact across the retail ecosystem.
What you'll do:
Drive high-impact data science initiatives across recommendations, customer voice, market research, product innovation, segmentation, forecasting, measurement, and decision intelligence.
  • Frame ambiguous business questions as testable hypotheses with clear metrics and decision criteria.
  • Build, validate, deploy, monitor, and improve predictive, causal, and ML solutions.
  • Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control.
  • Work with agentic AI teams to answer user questions about measurement, impact, and causal drivers.
  • Mentor team members on coding, modeling, visualization, and analytical storytelling.
  • Communicate insights to influence decisions and drive business value.

What you'll bring:
  • Deep expertise in data science, statistics, machine learning, experimentation, measurement, and causal inference.
  • Proven ability to turn ambiguous business problems into clear hypotheses, scalable analytical plans, and measurable outcomes.
  • Strong Python coding skills, with experience building production-quality data science solutions.
  • Experience deploying, monitoring, and improving models or decision tools in partnership with engineering teams.
  • Familiarity with emerging agentic AI architectures, systems, and evaluation patterns.
  • Experience using AI-assisted coding and engineering tools to improve development speed, quality, and iteration.
  • Ability to mentor others on coding, modeling, visualization, and analytical communication.
  • Strong business judgment and communication skills to influence product, engineering, and executive stakeholders.
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-09158: The annual salary range for this position is $110,000.00 - $220,000.00
Hoboken, New Jersey US-10279: The annual salary range for this position is $132,000.00 - $264,000.00 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 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 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, 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 72716-3724, 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.

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Benefits

Hours and flexibility

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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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