Faculty responsible for developing and delivering data analytics courses to undergraduate and graduate students, integrating technology and responsible AI practices.
Locations (4)
Arizona, United States
California, United States
Indiana, United States
Pennsylvania, United States
Compensation
Pay may vary in most states from $1500-$2700 per 8-week session. Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.
Responsibilities
Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus
Organizes, prepares, and regularly revises and updates all course materials
Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students
Models effective oral and written communications that engage the students, provide clarity, and improve student learning
Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories
Requirements
Doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field
18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline
Nice to have: industry certifications in data analytics, data science, or business intelligence platforms
Nice to have: experience with data management and analytics ecosystems
Nice to have: experience with data governance and data lifecycle management
Lead our pioneering AI initiative at AWS and define the future of AI agents. Shape how businesses leverage artificial intelligence by creating foundational building blocks used across AWS business applications.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Responsibilities
Own the technical architecture and strategy for a critical AI agent capability area, setting the foundation for enterprise-scale AI solutions across AWS
Lead projects requiring multiple engineers, balancing business goals with technical excellence while navigating ambiguous problem spaces
Research, evaluate, and integrate state-of-the-art AI technologies, making informed decisions about build vs. leverage approaches
Design and implement reusable AI components that meet enterprise-grade quality standards while simplifying complex technical challenges
Drive consensus across teams with different priorities and perspectives to create unified AI building blocks
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: 10+ years of full software development life cycle
Executive Director, AI/ML — Forecasting, Constraint Optimization, and Recommendation Systems
Lead the creation and operation of a complex, constraint-based optimization and recommendation ecosystem supporting the bank’s operations, integrating time-series predictions and demand forecasts with optimization models.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Lead the design and delivery of a complex constraint-optimization recommendation system
Formulate global, system-wide optimization objectives and constraints
Develop and validate time-series and demand-driven predictive models
Build and lead a multidisciplinary team of applied AI/ML researchers, optimization specialists, and engineers
Drive significant business stakeholder management across executive leadership and product, business, analytics, data, and engineering partners
Requirements
PhD in Computer Science in Artificial Intelligence, Operations Research, or a closely related quantitative discipline
Nice to have: advanced research or specialized doctoral work at the intersection of AI/ML, time-series forecasting, demand modeling, and constraint optimization
Nice to have: deep experience with distributed infrastructure
Nice to have: deep experience with distributed ML and scalable optimization
Nice to have: deep experience with production model lifecycle management
Lead the strategy, architecture, engineering, and lifecycle management of enterprise email security platforms protecting critical business communications.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Lead the strategy, architecture, engineering, and lifecycle management of enterprise email security platforms protecting critical business communications.
Define and drive the roadmap for email security capabilities, including secure email gateways, phishing protection, threat detection and response, encryption, data loss prevention (DLP), and cloud-based security services.
Serve as the technical authority for email security architecture, ensuring solutions align with cybersecurity, resiliency, regulatory, and multi-level security requirements.
Partner with Cyber, Technology, Risk, Compliance, Audit, and business stakeholders to assess threats, prioritize investments, clarify security requirements, and manage security risk.
Lead complex engineering and modernization initiatives from concept through deployment, including proof-of-value evaluations, migrations, technology upgrades, and platform transformations.
Senior Data Analytics Engineer responsible for designing, building, and maintaining data pipelines, integration workflows, and analytics solutions to support government and enterprise decision-making.
Compensation
The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).
Responsibilities
Design and maintain data pipelines, ETL/ELT workflows, and data integration solutions
Integrate data from enterprise sources such as SharePoint, databases, or APIs
Develop dashboards, KPIs, and reporting solutions using Power BI or Tableau
Use SQL and programming or scripting languages for data transformation, analytics, automation, and reporting
Develop analytical solutions to identify trends, measure performance, and support operational decision-making
Junior Project Manager or Project Coordinator responsible for managing cross-organizational software development projects from initiation through delivery.
Compensation
Pay: $40/hr-$50/hr on w2
Responsibilities
Develop and report on metrics for engineering development
Manage cross-organizational software development projects
Lead and influence program timelines
Ensure delivery quality and code standards
Requirements
Bachelor’s degree in computer science or a related field
Lead security reviews, threat modeling, and risk assessments for customer service systems, design and build security controls, partner with stakeholders to define security strategies, and create frameworks and runbooks to enable repeatable security practices.
Compensation
USA, WA, Seattle - 178,400.00 - 226,700.00 USD annually
Responsibilities
Lead security reviews, threat modeling, and risk assessments for customer service systems
Design and build security controls and engineering solutions
Partner with business stakeholders, product owners, and engineering teams to understand emerging risks
Create security frameworks, runbooks, and rubrics for new problem domains
Communicate security risk and design decisions clearly in writing
Requirements
Nice to have: experience applying threat modeling or other risk identification techniques
Nice to have: experience with security in service-oriented architectures/microservices and web services
Nice to have: experience conducting insider threat investigations
Nice to have: experience securing telephony systems against risk
Lead design, architecture, and delivery of Amazon Ads’ auto‑optimization platform, building agent execution engines, action layers, evaluation pipelines, and safety standards.
Locations (2)
New York, New York, United States
Seattle, Washington, United States
Compensation
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
Responsibilities
Own the auto‑optimization platform’s architecture and roadmap
Build agent execution engine and action layer for live campaigns
Set safety standards and audit trails
Develop offline and online evaluation pipelines
Prototype new system designs and agent patterns
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
Nice to have: coding standards
Nice to have: code reviews
Software Development Engineer III, WW Sustainability
Join us at the forefront of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy.
Compensation
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Responsibilities
Design and develop AI native systems and features that report Amazon's environmental footprint as well as other Social and Governance metrics, to internal stakeholders and external regulatory bodies.
Operationally maintain the systems you build with a strong sense of Ownership, Bias for Action, and Customer Obsession.
Contribute to improving the teams broader SDLC processes.
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Online Visiting Professor of Data AnalyticsNewDeVry University · US+3 more
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