Similar Jobs
Big Data • Information Technology • Software • Analytics • Energy
Contract geologist supporting regional structural and sequence-stratigraphic interpretation projects, primarily in the Anadarko Basin and other North American basins. Integrates seismic, well, production, geological, geophysical, and petrophysical data using subsurface interpretation software. Responsibilities include geological modeling, productivity analysis, multidisciplinary collaboration, quality control, stakeholder coordination, project support, and client presentations.
Top Skills:
GisKingdom
Other • Utilities
Provide in-house legal counsel to Device & Supply Chain, drafting, reviewing, and negotiating purchasing, sourcing, logistics, transportation, professional services, device insurance, and technology agreements; identify and mitigate legal risks; develop templates and playbooks; deliver training; collaborate cross-functionally; and support process improvement initiatives.
Top Skills:
ExcelMicrosoft WordPowerPoint
Legal Tech • Software • Generative AI
Own Eve’s messaging house, positioning, competitive narrative, first-call deck, keynote and event content. Partner with executives, Product, Sales, Enablement, Demand Gen, and Content to ensure consistent, differentiated messaging. Gather market feedback from customers, prospects, and sales calls, translating technical AI capabilities into clear value for plaintiff attorneys. The role requires exceptional writing, executive presence, strategic messaging expertise, and 7+ years of B2B SaaS or legal technology product marketing experience.
Top Skills:
Artificial IntelligenceB2B SaasLegal Technology
Leads advanced data science and optimization initiatives for inventory decision intelligence. Develops, validates, and deploys scalable machine learning and optimization models; analyzes complex business problems; evaluates data quality and model performance; translates business needs into analytical solutions; and mentors team members while collaborating across engineering, product, and business functions.
Position Summary...What you'll do...Role summary:
Join Walmart as a Principal Data Scientist to lead advanced analytics initiatives that drive strategic business decisions. This role involves developing and deploying optimization and machine learning models, performing statistical analysis, and leveraging large-scale data to solve complex problems. The position requires collaboration across functions to translate business needs into data-driven solutions, ensuring model accuracy and scalability. The ideal candidate will apply expertise in coding, data visualization, and optimization techniques to enhance operational efficiency and deliver measurable business impact within a dynamic, technology-driven environment.
About the team:
The Inventory Decision Intelligence team, part of Applied AI, develops advanced AI and mathematical optimization solutions to enhance inventory management across Walmart’s network. The team builds scalable, reliable decision systems that optimize how inventory is ordered, positioned, transferred, and managed. Collaborating closely with engineering, product, and business teams, they improve inventory availability and sales while reducing excess and operating costs. Their work delivers improved experiences for customers and associates by applying agentic AI, statistical analysis, and optimization techniques to create consistent, data-driven solutions across varied business environments.
What you'll do:
What you'll bring:
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.
Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00
Bentonville, Arkansas US-09158: 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
Join Walmart as a Principal Data Scientist to lead advanced analytics initiatives that drive strategic business decisions. This role involves developing and deploying optimization and machine learning models, performing statistical analysis, and leveraging large-scale data to solve complex problems. The position requires collaboration across functions to translate business needs into data-driven solutions, ensuring model accuracy and scalability. The ideal candidate will apply expertise in coding, data visualization, and optimization techniques to enhance operational efficiency and deliver measurable business impact within a dynamic, technology-driven environment.
About the team:
The Inventory Decision Intelligence team, part of Applied AI, develops advanced AI and mathematical optimization solutions to enhance inventory management across Walmart’s network. The team builds scalable, reliable decision systems that optimize how inventory is ordered, positioned, transferred, and managed. Collaborating closely with engineering, product, and business teams, they improve inventory availability and sales while reducing excess and operating costs. Their work delivers improved experiences for customers and associates by applying agentic AI, statistical analysis, and optimization techniques to create consistent, data-driven solutions across varied business environments.
What you'll do:
- Develop, test, and deploy advanced data science solutions using appropriate programming languages and tools.
- Analyze complex business problems to identify root causes and recommend data-driven approaches.
- Identify and validate suitable data sources, ensuring data quality and relevance for modeling.
- Design and implement optimization algorithms or machine learning models, optimizing features and algorithms for accuracy and scalability.
- Evaluate model performance using rigorous validation techniques and adjust models accordingly.
- Collaborate with stakeholders to translate business requirements into actionable data strategies.
- Mentor team members on analytical methods, modeling techniques, and best practices.
What you'll bring:
- Extensive experience in developing and deploying machine learning models using Python and related tools.
- Proficiency in statistical analysis, hypothesis testing, and advanced modeling techniques including deep learning and optimization methods.
- Strong knowledge of data sourcing, quality assessment, and data ecosystem management to ensure fit-for-purpose datasets.
- Ability to translate complex business problems into analytical solutions with measurable impact.
- Expertise in optimization or machine learning as well as model validation, deployment, and lifecycle management for scalable production environments.
- Demonstrated leadership in mentoring teams and driving cross-functional collaboration to deliver data-driven insights.
- Familiarity with cloud platforms such as AWS SageMaker or GCP for model development and deployment.
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.
Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00
Bentonville, Arkansas US-09158: 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
ㅤ
ㅤ
ㅤ
ㅤ
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 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, 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...10900 Ne 4th St, Bellevue, WA 98004, 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.Walmart Global Tech Seattle, Washington, USA Office
Seattle, WA, United States
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute



