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Bayesian Modeling Jobs (NOW HIRING)

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Job Summary Are you a statistician who wants to see your Bayesian models protect national security? GA-Intelligence is seeking a Statistics PhD to develop tracking algorithms that process data from ...

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Bayesian Modeling information

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How much do bayesian modeling jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for bayesian modeling in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

What are the key skills and qualifications needed to thrive as a Bayesian Modeler, and why are they important?

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

How does a Bayesian Modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.
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What cities are hiring for Bayesian Modeling jobs? Cities with the most Bayesian Modeling job openings:
What states have the most Bayesian Modeling jobs? States with the most job openings for Bayesian Modeling jobs include:
Senior Manager, Technical Program Management - Marketing Transformation & AI

Senior Manager, Technical Program Management - Marketing Transformation & AI

Walmart

Farmington, AR • On-site

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 1 hour ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,951 frontline employees who took The Breakroom Quiz

24th of 39 rated national retailers


Job description

Position Summary...Walmart Marketing is undergoing one of the most significant transformations in its history — modernizing how we measure, experiment, and deploy AI and technology to reach customers more effectively and efficiently. This Staff Technical Program Manager role sits at the center of that transformation, owning end-to-end program execution across three interconnected workstreams: Measurement (Next-Gen Mixed-Media Modeling, data taxonomy, attribution), Experimentation (A/B testing infrastructure, governance, and learning ambition framework), and AI & MarTech (agentic AI systems, prototype-to-production pipelines, MarTech fitness, and marketing workflow automation).
You will operate as the connective tissue between data scientists, ML engineers, marketing analysts, MarTech engineers, and executive stakeholders — translating complex technical work into clear business outcomes and ensuring that critical FY26/FY27 milestones are delivered on time, with measurable impact. This is not a seat-warmer role. You will drive the engine. What you'll do...1. Transformation Program Ownership End-to-End Workstream Program Management:  Own and maintain program plans, milestone tracking, dependency maps, and status reporting across the Measurement, Experimentation, and AI & MarTech workstreams. Drive quarterly planning cycles, define critical-path milestones, and coordinate “inform” and “decision” moments with workstream sponsors and executive leadership. Impact Metrics & Measurement Standards:  Drive development and operationalization of Marketing Transformation's KPI taxonomy — anchored to Associate Hours Reclaimed (AHR) and marketing effectiveness metrics. Build and maintain the monthly impact dashboard and deliver leadership-ready reporting on transformation ROI. 2. Technical Cross-Functional Coordination Cross-Team Alignment & Delivery:  Serve as the connective tissue across data scientists, ML engineers, data engineers, MarTech engineers, and marketing analysts — facilitating design discussions, resolving SME access issues, clarifying ownership gaps, and ensuring alignment on technical architecture and delivery commitments. Partner within the Walmart PM/EM/TPM Triad model to balance business and engineering priorities. Data Quality & Pipeline Governance:  Collaborate with data scientists, ML engineers, and data engineers to ensure high data quality, model accuracy, and system performance. Coordinate delivery of data pipeline automation and AI-powered validation capabilities — including anomaly detection for MM data pipelines and next-gen MM pipeline enhancements. MarTech Fitness & Data Readiness:  Coordinate the MarTech Fitness Audit (Phase 1 and Phase 2 post-taxonomy), tool-by-tool capability assessment, and prioritized recommendations delivery. Support the Marketing Data Readiness Scorecard development and data governance operating model definition. 3. Stakeholder Communication & Executive Reporting Executive Briefings & Reporting:  Translate technical systems language and KPIs (e.g., model Accuracy, Precision, Recall, RMSE, AHR baselines) into business communication updates and project success metrics for executive Marketing leadership. Develop and maintain weekly/bi-weekly written status reporting, milestone trackers, and executive readout decks. Change Management & Enablement Comms:  Drive change management communication planning across taxonomy launches, next-gen model rollouts, and experimentation tool deployments — including audience segmentation, comms timing, launch announcements, onboarding trainings, and self-serve FAQs. Partner with the Marketing AI Knowledge Network to align enablement comms across ARC Hours, newsletter, and AI Spotlight Sessions. 4. Risk Management & Process Development Proactive Risk Identification & Mitigation:  Proactively identify and manage risks related to data privacy, model bias, AI governance, performance degradation, timeline slippage, and resource constraints. Own risk logging, mitigation planning, and escalation paths. Ensure ethical and responsible AI deployment across marketing measurement and agentic systems. Tools, Workflows & Agile Process Development:  Utilize AI-powered project management tools (Jira, Confluence, Asana) to automate documentation, track milestones, and visualize project velocity. Drive Agile/Scrum execution — backlog grooming, sprint planning, retrospectives, and Scrum of Scrums. Lead Workflow Census mapping to identify and prioritize marketing workflow automation opportunities. REQUIRED QUALIFICATIONS:
  • Experience: 5+ years as a Technical Program Manager, AI/Data Program Manager, or equivalent technical program management role; ideally with direct AI/ML or data science project ownership.
  • AI/ML Fluency: Solid working understanding of machine learning concepts — supervised/unsupervised learning, neural networks, LLMs, Bayesian modeling, and causal inference frameworks. Familiarity with model evaluation metrics (Accuracy, Precision, Recall, RMSE).
  • Data Engineering Awareness: Familiarity with data pipeline architecture, data lake/CDP integration patterns, data validation practices, and model data preparation workflows.
  • Marketing Technology: Experience working with modern marketing stacks, CRM/CDP data, marketing measurement systems (MMM, multi-touch attribution), and experimentation platforms.
  • Agile Leadership: Proven expertise leading Agile/Scrum teams — backlog grooming, sprint planning, retrospectives, and Scrum of Scrums across multi-team programs.
  • Tooling: Proficient with Jira and Confluence. Working familiarity with Python (readable, not writable), SQL, and cloud platforms (AWS, GCP, or Azure).
  • Communication: Exceptional skill translating technical complexity (model metrics, infrastructure decisions, engineering tradeoffs) into executive-ready business language and narrative.
  • Stakeholder Management: Demonstrated ability to manage cross-functional stakeholders across data science, engineering, product, marketing, and executive leadership simultaneously.
  • Risk Management: Experience identifying, logging, and driving mitigation for technical risks including data quality issues, model drift, privacy concerns, and delivery delays.
PREFERRED QUALIFICATIONS:
  • Marketing Analytics Depth: Background in marketing analytics, econometrics, marketing mix modeling, or behavioral/causal modeling.
  • MLOps Experience: Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow) and model deployment lifecycle management.
  • Agentic AI Exposure: Experience supporting development or deployment of AI agents, multi-agent orchestration systems, or LLM-powered workflow automation.
  • Experimentation Platforms: Experience with A/B testing infrastructure, experimentation governance frameworks, or statistical significance frameworks used in marketing contexts.
  • MarTech Stack Knowledge: Familiarity with MarTech auditing, CRM/CDP platforms, media buying systems, tagging infrastructure, and marketing data taxonomy design (e.g., Claravine).
  • Change Management: Experience designing and executing change management plans for technical tool rollouts to non-technical audiences at scale.
  • Executive Storytelling: Demonstrated ability to build insight and storytelling frameworks that translate model outputs into compelling business narratives for CMO-level audiences.
  • Certifications: PMP, Agile Scrum Master (CSM/SAFe), or equivalent program management certification.
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 :
- 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: Bachelor’s degree in computer science, information technology, engineering, or related area and 6 years’ experience in engineering, engineering program management, technical program management, product management, or related area.
• Option 2: 8 years’ experience in engineering, engineering program management, technical program management, product management, or related area. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Certification in Project Management., Master’s degree in Business Administration, with specialization in strategy, supply chain, finance, information systems, or related area and 4 years’ experience in product design., Supervisory, 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... 1601 SE 10th St, Bentonville, AR 72716, 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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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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