1

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 ...

Perform preventive, predictive, and corrective maintenance to ensure reliable operation of ... PLC's, control logic, troubleshooting and repairs of automated equipment in a manufacturing setting

Perform preventive, predictive, and corrective maintenance to ensure reliable operation of ... PLC's, control logic, troubleshooting and repairs of automated equipment in a manufacturing setting

Perform preventive and predictive maintenance on schedule to ensure equipment uptime. This includes ... Install new pneumatic and electronic instruments and control systems. This includes adjustment ...

Perform preventive and predictive maintenance on schedule to ensure equipment uptime. This includes ... Install new pneumatic and electronic instruments and control systems. This includes adjustment ...

You Are: A hands on technical architect who has spent real time on plant floors and in control ... Proven experience architecting solutions for manufacturing use cases such as predictive maintenance ...

next page

Showing results 1-20

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 (MPC) 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 (MPC) 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 July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% In-person job distribution.
(USA) Senior Manager, Data Science (AI Technical Lead) - Next-Gen Customer Engagement & Returns

(USA) Senior Manager, Data Science (AI Technical Lead) - Next-Gen Customer Engagement & Returns

Walmart

Bentonville, AR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,085 frontline employees who took The Breakroom Quiz

24th of 39 rated national retailers


Job description

Position Summary...The Vision: Rewiring the Omni-Channel Experience with AI The world of retail is undergoing a massive paradigm shift, and AI is at the helm. At the intersection of consumer behavior and complex supply chain logistics lies one of the biggest challenges-and opportunities-in the industry: Omni-Channel Returns. The Customer Engagement Services team is building an autonomous, intelligent ecosystem that doesn't just process returns; it predicts, personalizes, and prevents friction. We are moving beyond reactive dashboards to deploy Agentic AI and Causal Machine Learning systems capable of digesting multi-modal data, diagnosing root causes of customer pain points, and triggering real-time, personalized interventions.
We are seeking a Senior Manager, Data Science to serve as the Technical Lead and visionary for this initiative. You are a high-impact player-coach who thrives at the bleeding edge of AI but demands rigorous software engineering standards. You won't just build models; you will architect the intelligent systems that redefine how we interact with our customers.What you'll do...
  • Architect Autonomous AI Systems: Design the end-to-end algorithmic framework for our proactive returns intelligence agent. You will fuse Causal Inference, Deep Learning, and Large Language Models (LLMs) to analyze structured transaction data alongside unstructured customer feedback, chat logs, and product reviews.
  • Lead the Transition from Insight to Action: Spearhead the application of Causal AI to understand the "why" behind return behaviors. You will move the team beyond simple correlation to answer counterfactuals (e.g., "If we offer a 15% discount right now, will it save the sale and the customer relationship?").
  • Drive Engineering Excellence: Act as the ultimate gatekeeper for the AI codebase. You will mentor a team of brilliant Data Scientists, elevating their engineering maturity from local "notebook scripts" to scalable, modular, and deployable production packages. You will enforce strict version control (Git), conduct rigorous code reviews, and mandate comprehensive unit/integration testing.
  • Pioneer ML & GenAI Observability: The real world is chaotic. You will design state-of-the-art MLOps and monitoring frameworks to track real-time model performance, data drift, and LLM hallucination rates. You ensure our AI agents adapt dynamically as consumer trends and macroeconomic factors shift.
  • Strategic Technical Leadership: Translate highly ambiguous business objectives ("Reduce omni-channel friction") into concrete, executable AI roadmaps. You will bridge the gap between complex algorithmic concepts and executive business strategy.
  • Hands-On Innovation: Roll up your sleeves. You will write high-performance, fault-tolerant Python and PySpark code for the most complex, mission-critical components of our recommendation engines.

What you'll bring:
The Tech Stack & Expertise, AI, Machine Learning & Analytics
  • Advanced Modeling: Deep expertise in time-series forecasting, anomaly detection, and modern predictive modeling.
  • Causal Inference & Experimentation: Proven ability to apply causal frameworks (e.g., Do-calculus, causal impact, propensity matching) to observational data to isolate exact friction points in the return journey.
  • NLP & GenAI: Experience leveraging Natural Language Processing and LLMs to extract sentiment and actionable features from unstructured customer engagement data.

Software Engineering & Big Data Architecture
  • Core Stack: Expert-level fluency in Python and SQL.
  • Distributed Computing: Strong hands-on architecture experience with PySpark and handling massive, petabyte-scale datasets.
  • Engineering Rigor: You don't merge code without tests. Extensive experience with Unit/Integration Testing (pytest) and advanced Git management (branching strategies, CI/CD pipeline integration, conflict resolution).

Leadership & MLOps (Preferred Qualifications)
  • Model Deployment: Experience with Docker/Kubernetes for containerized model serving, and familiarity with cloud infrastructure (GCP, or AWS) to optimize compute resources for heavy AI workloads.
  • Mentorship: A proven track record of upskilling technical teams, setting coding standards, and fostering a culture of continuous innovation.
  • Education: Advanced degree (MS/PhD) in a quantitative field (Computer Science, Statistics, Operations Research, Economics, etc.).
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. Your Career Journey at Walmart: At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here's what to expect when interacting with us as recruiters: We'll reach out via verified LinkedIn profiles or emails ending in "@walmart.com." or "@samsclub.com". All job opportunities and applications are hosted on our official careers site: http://careers.walmart.com. There is no cost or payment required to apply or be considered for a position. If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart! 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 :
- 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 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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, 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...805 Respect, 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.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walmart logo

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

Social media