Applied Scientist Workforce Intelligence jobs at Amazon in Canada, Vancouver

ABOUT THIS ROLE
As a Security Engineer at Audible you will advocate for information security throughout all our software development and business processes. You will work with other Security Engineers, Application Developers, System Engineers, and Business Stakeholders to protect our customers and Audible’s business.
As a Senior Security Engineer, you will...
- Contribute to designing, implementing, and executing security review and test methodologies for recurring testing of critical production services- Conduct design review, threat modeling, security review, and penetration testing on production systems
- Scope and perform penetration testing and vulnerability research on complex proprietary software and hardware- Prepare and present detailed, written technical information for internal and external audiences
- Participate in third party security risk assessments and due diligence (including helping to secure third-party integrations and partnerships)
ABOUT AUDIBLE

- 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
- Bachelor's degree in computer science or equivalent
- Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or experience in IT Security
- Knowledge of networking protocols such as HTTP, DNS and TCP/IP
- Knowledge of industry-based security vulnerabilities and remediation techniques
- Experience in scripting, programming, and security code reviewing in a common programming language (non-internship)
- Experience in troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship experience)

- 2+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience
- Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks
- Knowledge of networking protocols such as HTTP(S), DNS, and TCP/IP
- Knowledge of networking protocols, to include HTTP(S), DNS, and TCP/IP
- Experience with AWS products and services
- Experience with programming languages such as Python, Java, C++
- Experience in scripting, programming, or security code reviewing in a common language, such as Python, Java, or C++
- Experience performing security activities across one or more phases of the software development lifecycle (SDLC), such as security design review, threat modeling, secure code review, and security testing

Key job responsibilities
- Use modern technologies to solve complex problems at scale
- Deliver solutions that scale in volume and handle the complexity of diverse workflows and country specific rules/regulations.
- Be a technical innovator that is not afraid to challenge the norms and innovate.
- Work with multiple cross functional teams to gather requirements, design, develop, deploy, and operate it across solution pipelines.- Design and develop code, build CI/CD pipelines, test automation, and dashboards for monitoring health of systems and data pipelines.- Lead engineering excellence initiatives for the orgA day in the life

- 2+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

As an Sr. Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes:
- Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights.
- Building AI trust and safety in the financial domain.
- Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving.
- Developing training/evaluation datasets for model fine-tuning.
You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Key job responsibilities
- Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognizing and adopting best practices in reporting, analyses, data quality and modeling.

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results

A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming or scripting language like Python, Java, C or C++

- Have publications at top-tier peer-reviewed conferences or journals
- Are enrolled in a academic program that is physically located in Canada

Pricing and Promotions
Your Impact
What Makes You a Great Fit- You have an insatiable curiosity and love learning new technologies
- You see opportunities where others see challenges- You bring an entrepreneurial spirit to everything you doWhat You'll Create
- Automated analytics systems that drive pricing and promotions decisions
- Sophisticated anomaly detection tools- Solutions that simplify complex problems
- Tools that enhance customer experienceWhy This Role
- Work with advanced analytics technologies
- Shape the future of retail pricing and promotions
Key job responsibilities
Drive Strategic Insights
- Present compelling insights and recommendations to senior leadership, influencing key decisionsInnovate with Advanced Analytics
- Pioneer new methodologies in pricing and promotions analytics, setting industry standardsBuild Scalable Solutions
- Design and implement automated reporting systems that drive efficiency
- Create intuitive dashboards that transform complex data into clear, actionable insights
Optimize Data Infrastructure
- Enhance back-end data sources to improve accuracy and streamline operations
- Implement best practices in data quality and modeling
Influence Through Communication
- Craft compelling narratives from data, influencing key stakeholdersLead Continuous Improvement
- Champion a culture of innovation, constantly seeking ways to improve and automate

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience working as a BIE in a technology company
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors Degree

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.We have an opening for an Electrical Colo Regional Engineer in Melbourne. If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you! As an Electrical Colo Regional Engineer, you will provide full life-cycle support to Data Centers from design inception through site improvement and maintenance. You will be the ‘go to’ engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams.
• Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty
• Are detail and data oriented
• Have experience managing engineering projects and consultants.
• Build trust and relationships with different stakeholders (e.g., Operations, Commissioning, Construction and Design)
• Be inclined to get into the field to see things up close.
Key job responsibilities
• Work with colo vendors to review the design for new Data Centers in your region, including design input, submittal review and incorporating AWS products to ensure the design is meeting AWS expectations
• Act as resident engineer during new colo construction projects. Support construction, commissioning, and handover
• Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failure
• Directly support operational issues with ad-hoc training, complex operating procedure reviews, including essential equipment, and event support
• Provide technical support to the design for existing data center upgrades and design-solutions, which add capacity, improve availability, and increase efficiency
• Supporting operating partners to lead, review, and approve designs for existing co-location (colo) data center upgrades which improve availability/efficiency
• Interface with operating partners, data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered by operating partners
• Work on concurrent projects, sometimes in multiple geographical regions
• Initiate and lead engineering site audits within leased or colo data centers. Produce reports outlining risks with recommended mitigations and remediation'sA day in the life
Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally.About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance

- Bachelor’s Degree in Electrical Engineering or equivalent experience.
- 6+ cumulative years of experience with industrial or commercial engineering in Mission Critical facilities including but not limited to: data centers, power generation, oil / gas facilities. (Experienced Engineer)
- Possess excellent communication and writing skills, attention to detail, maintain high quality standards
- Direct experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers.
- Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents.

- Experience as resident engineer or hands-on (in the field) design consultant.
- Ability to carry design concepts through exploration, development, and into deployment/mass production
- Previous ownership of fast track design/build projects and or multiple significant upgrade projects
- Basic understanding of both mechanical and electrical equipment/design related to data centers (Including but not limited to: uninterruptible power sources, diesel generators, electrical switch-gear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers [air-cooled and water-cooled], pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc...)
- Have fluent knowledge of continuous operating redundant electrical systems, cooling systems, air flow containment systems and building management systems. (Including but not limited to: uninterruptible power sources, AC/DC conversion, P&ID loops, diesel generators systems and complex arrangements, direct evaporative cooling systems, etc...)