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Causal Inference Machine Learning Postdoctoral Jobs in Missouri

Identify opportunities to leverage AI, machine learning, causal inference, optimization, and experimentation to improve pricing decisions. * Drive innovation by evaluating emerging technologies and ...

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

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 ...

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

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 ...

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 ...

Broad expertise across data science disciplines: experimentation, causal inference, forecasting, optimization, and machine learning. * Exceptional written and verbal communication -- ability to make ...

Solid understanding of statistical inference, econometric modeling (e.g., time series analysis, causal inference), and machine learning algorithms (e.g., regression, classification, clustering, tree ...

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Causal Inference Machine Learning Postdoctoral information

What is a causal inference machine learning postdoctoral researcher?

A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.

What are the key skills and qualifications needed to thrive as a causal inference machine learning postdoctoral researcher?

To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.

What are some common challenges faced by causal inference machine learning postdoctoral researchers when integrating causal models with real-world data?

Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.

What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Missouri? For Causal Inference Machine Learning Postdoctoral jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Missouri look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Missouri are:
What cities in Missouri are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Missouri with the most Causal Inference Machine Learning Postdoctoral job openings:
Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

(USA) Director, Data Science

Walmart

Cassville, MO • On-site

$130K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,398 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...
Position Summary
We are seeking a highly experienced Director of Data Science & Machine Learning to lead the strategy, development, and delivery of next-generation Price Recommendation solutions. This leader will manage a high-performing team of Data Scientists and Machine Learning Engineers responsible for building AI and ML products that improve pricing decisions, customer value, and business performance at scale.
The ideal candidate combines deep expertise in machine learning with exceptional leadership, product thinking, and stakeholder management skills. They will define the long-term roadmap, influence executive strategy, partner closely with Product, Engineering, Merchandising, and Business teams, and ensure successful delivery of high-impact pricing solutions.
Key Responsibilities
Strategic Leadership
  • Define and own the multi-year vision and roadmap for Price Recommendation capabilities aligned with business objectives.
  • Identify opportunities to leverage AI, machine learning, causal inference, optimization, and experimentation to improve pricing decisions.
  • Drive innovation by evaluating emerging technologies and translating them into scalable business solutions.
  • Influence organizational strategy through data-driven recommendations and executive-level communication.
     
People Leadership
  • Lead, mentor, and grow a team of Data Scientists, Machine Learning Engineers, and technical managers.
  • Foster a culture of innovation, ownership, collaboration, and continuous learning.
  • Establish clear goals, performance expectations, and career development plans for team members.
  • Recruit and retain top AI and ML talent.
     
Product & Roadmap Ownership
  • Partner with Product Management to define priorities, investment decisions, and roadmap execution.
  • Balance long-term innovation with near-term business commitments.
  • Drive prioritization across multiple initiatives while effectively managing dependencies, risks, and trade-offs.
     
Cross-functional Stakeholder Management
  • Build strong partnerships with Product, Engineering, Merchandising, Finance, Operations, and Executive Leadership.
  • Translate complex technical concepts into clear business outcomes for senior leadership.
  • Align multiple organizations around common goals and execution plans.
  • Serve as the primary data science leader for pricing initiatives across the organization.
     
Delivery & Execution
  • Lead end-to-end delivery of ML products from ideation through production deployment and post-launch measurement.
  • Ensure solutions are scalable, reliable, explainable, and measurable.
  • Establish operational excellence through strong execution, governance, and engineering best practices.
  • Define success metrics and continuously improve model performance and business impact.
     
Technical Leadership
  • Provide technical direction on machine learning methodologies including:
    • Demand forecasting
    • Price elasticity modeling
    • Causal inference
    • Recommendation systems
    • Reinforcement learning
    • Optimization
    • Experimentation and A/B testing
  • Promote best practices in model development, validation, monitoring, and responsible AI.
  • Guide architectural decisions to ensure scalable and reusable ML platforms.
      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's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds 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 kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
    Benefits:
    Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(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, ideas, and opinions – while being inclusive of all people. 
    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.
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 $130,000.00 - $260,000.00 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 6 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 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... 2608 Se J St, Bentonville, AR 72712, 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.

What Walmart employees say

Pay

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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