Applied Scientist II, Workforce Intelligence

Amazon; Vancouver; On-site; CAD 149,000 - 250,000; Full time

Job summary

A leading technology company in Vancouver is seeking an Applied Scientist to work on ML/AI solutions. This role involves collaborating with engineering and product teams to develop advanced optimization solutions, leveraging machine learning for strategic decision-making. The ideal candidate should have a PhD or Master's degree and significant experience in model building, programming, and data analysis. The position offers a competitive salary range of $149,300 to $249,300 per year, alongside a comprehensive benefits package.

Qualifications

• 3+ years of building models for business application experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience in high-performance computing.

Responsibilities

• Drive crisp and timely execution of engineering milestones.
• Manage diverse requests and dependencies.
• Define and implement operational improvements.
• Interface and influence stakeholders in ambiguous situations.
• Monitor metrics and program health.

Skills

Model building for business applications

Programming in Java, C++, Python

Algorithms and data structures

Numerical optimization

Education

PhD or Master's degree in CS, CE, ML or related field

Tools

Unix/Linux

Job description

Description

Success in any organization begins with its people and having a comprehensive understanding of our workforce and how we best utilize their unique skills and experience is paramount to our future success. WISE (Workforce Intelligence powered by Scientific Engineering) delivers the scientific and engineering foundation that powers Amazon's enterprise-wide workforce planning ecosystem. Addressing the critical need for precise workforce planning, WISE enables a closed-loop mechanism essential for ensuring Amazon has the right workforce composition, organizational structure, and geographical footprint to support long-term business needs with a sustainable cost structure.

We are looking for a Applied Scientist to join our ML/AI team to work on Advanced Optimization and LLM solutions. You will partner with Software Engineers, Data Engineers and other Scientists, TPMs, Product Managers and Senior Management to help create world-class solutions. We're looking for people who are passionate about innovating on behalf of customers, demonstrate a high degree of product ownership, and want to have fun while they make history. You will leverage your knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages to analyze and translate the data into meaningful insights. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Further, you will build solutions leveraging advanced analytics that enable stakeholders to manage the business and make effective decisions, partner with internal teams to identify process and system improvement opportunities. As a tech expert, you will be an advocate for compelling user experiences and will demonstrate the value of automation and data-driven planning tools in the People Experience and Technology space.

Key job responsibilities

• Engineering execution - drive crisp and timely execution of milestones, consider and advise on key design and technology trade-offs with engineering teams

• Priority management - manage diverse requests and dependencies from teams

• Process improvements – define, implement and continuously improve delivery and operational efficiency

• Stakeholder management – interface with and influence your stakeholders, balancing business needs vs. technical constraints and driving clarity in ambiguous situations

• Operational Excellence – monitor metrics and program health, anticipate and clear blockers, manage escalations

To be successful on this journey, you love having high standards for yourself and everyone you work with, and always look for opportunities to make our services better.

Basic Qualifications

• 3+ years of building models for business application experience

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

• Experience in patents or publications at top-tier peer-reviewed conferences or journals

• Experience programming in Java, C++, Python or related language

• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux

• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.