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Remote Causal Inference Jobs (NOW HIRING)

Walmart

Staff, Data Scientist (Pricing)

Bentonville, AR · On-site +1

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches ...

Walmart

Staff, Data Scientist (Pricing)

Sunnyvale, CA · On-site +1

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches ...

Reddit

Staff Data Scientist, Marketing

We're completely remote friendly. Team Description: The Marketing Science team at Reddit leverages ... We serve as the engine behind our growth, using advanced experimentation, causal inference, and ...

NorthEastern

Postdoctoral Research Associate

Boston, MA · Remote

$60K - $85K/yr

... causal inference is strongly preferred The initial appointment is for a one-year period, with the possibility for renewal. This position is fully remote - no on-campus presence is required. Position ...

Northbeam

Senior Data Scientist

$170K - $200K/yr

We're a remote-friendly company with physical offices in San Francisco and Los Angeles. About the ... This is an applied data science role focused on translating statistical and causal inference ...

Bluefish AI

Senior/Staff Data Scientist, Analytics

You'll own experimentation and causal inference frameworks, produce rigorous methodological work ... The role is linked with our office in Berlin, but we are flexible about hybrid or remote work in ...

ZipRecruiter

Decision Scientist II, Mobile

Santa Monica, CA · On-site +1

$130K - $155K/yr

You will leverage rigorous analysis, experimentation, and causal inference to evaluate product ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

2U

Data Scientist II

Washington, DC · On-site +1

Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

Team Velocity

Senior Data Scientist

VA · Remote

$160K - $190K/yr

Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis. * Build ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

2U

Data Scientist II

Crystal City, TX · On-site +1

Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

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How much do remote causal inference jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote causal inference in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a remote causal inference?

A Remote Causal Inference job involves using statistical and analytical methods to determine cause-and-effect relationships from data, often for fields like healthcare, social sciences, or business. Professionals in this role work remotely, leveraging tools such as R, Python, or specialized software to analyze experiments, observational studies, or large datasets. Their insights help organizations make data-driven decisions, design better interventions, and accurately measure the impact of policies or treatments. Strong skills in statistics, machine learning, and communication are essential for success in this position.

What are the key skills and qualifications needed to thrive as a remote causal inference specialist?

To thrive as a Remote Causal Inference Specialist, you need strong quantitative and statistical skills, a solid background in econometrics or data science, and typically an advanced degree in a related field. Proficiency with statistical programming languages such as R or Python, experience with causal inference frameworks like propensity score matching or instrumental variables, and familiarity with data visualization tools are crucial. Outstanding problem-solving abilities, clear communication, and self-motivation are essential soft skills for working independently and conveying complex results to non-technical stakeholders. These skills enable accurate, actionable insights from data, which drive evidence-based decision-making in remote, collaborative environments.

How does a remote causal inference specialist typically collaborate with cross-functional teams, and what tools are commonly used?

As a remote Causal Inference specialist, you’ll frequently work with data scientists, product managers, and engineers to design and interpret experiments, analyze observational data, and provide actionable insights. Collaboration usually happens through regular video meetings, shared documentation, and project management tools. Commonly used platforms include Slack or Microsoft Teams for communication, GitHub for code collaboration, and Jupyter Notebooks or RMarkdown for sharing reproducible analyses. These tools help ensure transparency and maintain strong teamwork despite the remote environment.
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Remote Causal Inference jobs near you
Infographic showing various Remote Causal Inference job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Staff, Data Scientist (Pricing)

Bentonville, AR • On-site, Remote

Walmart
Retail • 10K+ employees

6.0

Company rating: 6.0 out of 10

Based on 22,554 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers

Recommended by students

Paid breaks

Respectful managers

Learn more about Walmartexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

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:
TheWalmart Global Tech Applied AI Data Science teamis looking for aStaff Data Scientistto work alongside our team of data scientists to build complex,cutting edge, and scalable algorithms for ourPricing organization. We are shaping the future of retail and are ready to work closely with merchants to solve their problems.
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:
  • Design and deploy prescriptive ML models to address high-impact pricing and markdown needs, ensuring alignment with Walmart's Global Tech strategy and EDLP integrity.
  • Perform elasticity analysis across large data sets and category segments to empower data-driven pricing decisions.
  • Own the E2E Price Recommendation lifecycle, including scoping, feature engineering, causal modeling, experimentation (A/B testing), and ongoing performance optimization.
  • Develop advanced pricing and optimization solutions using:Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches (Double ML, Instrumental Variables, Uplift modeling); Optimization & Reinforcement Learning: Multi-armed bandits, Deep RL
    (PPO, DQN) for sequential decision-making, and constrained optimization; Deep Learning: Modern architectures for demand sensing and price-response
    curves; Uncertainty Quantification: Bayesian approaches and conformal prediction to manage the risk of price changes.
  • Build explainable pricing systems: Provide model interpretability and stakeholder-facing narratives on "why" a price recommendation was made (e.g., competitor move vs. inventory health).
  • Apply graph-based modeling to capture cannibalization and halo effects across product hierarchies and spatial locations (GNNs, temporal graphs).
  • Establish strong evaluation and monitoring: Backtesting against historical price changes, drift detection, and calibration of price-response curves.
  • Drive best practices in AgentOps: Build Agentic workflows to enable chat-based price explainability and "what-if" scenario planning for Merchants.
  • Collaborate and Mentor: Partner with Product, Business, and Engineering to set technical direction and mentor the next generation of MLEs.

What You'll Bring:
  • 8+ years in Data Science / Applied ML (or PhD + 5 years), with deep hands-on exposure to pricing, elasticity, or causal modeling.
  • Demonstrated experience delivering production-grade optimization models with measurable financial outcomes (e.g., Margin lift, Inventory turnover).
  • Strong knowledge of pricing dynamics: Seasonality, competitor indexing, promotional impact, regime changes, and price-point psychology.
  • Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and modern architectures for decision-focused AI.
  • Practical experience with Explainable AI (XAI) and communicating complex modelreasoning to non-technical business stakeholders.
  • Excellent coding skills in Python; strong grasp of software engineering fundamentals (testing, CI/CD, MLOps).

Preferred Qualifications:
  • Experience with Causal Inference & Decision Science: Impact estimation,counterfactuals, and policy evaluation.
  • Advanced Graph Learning: Using GNNs to model cross-item elasticity and substitution patterns.
  • Large-scale Data/Compute: Experience with Spark, Feature Stores, and distributed training in a cloud environment (GCP/Azure).
  • Building Human-Centered AI: Dashboards for "driver decomposition" and "why the price changed" analysis.
  • Agentic Frameworks: Experience deploying LLM-based agents to act as intermediariesbetween complex models and business users.

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-10343: 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 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...2501 Se J Street Ste B, Bentonville, AR 72712-7761, 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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Hours and flexibility

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