Applied Scientist Manager, Tax Engine

Amazon ‘s Tax engine organisation is looking for a passionate and innovative science leader to take its science initiatives to new heights. Amazon Tax Engine platform backs all of the orders placed across Amazon e-commerce. We serve Amazon customers and sellers by correctly computing and collecting the tax amounts when an Amazon order is placed globally. We are responsible for correctly attributing products to the correct Tax categories applicable for the specific country, state and county, providing core calculation services that calculate taxes (sales tax and VAT) for all Amazon sales, physical and digital. Our challenges include staying on top of the complex and ever-changing global tax legislations as well as computing calculations correctly and quickly, thousands of times a second, with accuracy close to 100%. We use language models at scale for Tax classification of the diverse products in Amazon catalogue We have a growing portfolio of science problems that includes balance of predictive and generative AI -including language comprehension, causal reasoning and active learning. Key job responsibilities - Manage and mentor a talented team of senior Appleid Scientists and SDEs. - Improve process and methodologies pertaining to deliverables of the team. - Strike the right balance between experimentation and delivery for sustained impact and long term gains. - Partner with stakeholders and customers to build roadmap for new products and services. Basic Qualifications: - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 3+ years of building machine learning models or developing algorithms for business application experience Preferred Qualifications: - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs 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 [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 range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 222,800.00 - 372,000.00 CAD annually

Manage and mentor a team of Applied Scientists and SDEs to deliver tax classification and calculation services. Partner with stakeholders to build product roadmaps and balance experimentation with delivery for long-term impact.

Requires over 3 years of experience in ML/scientist management and 3+ years of building ML models for business applications. Proficiency in NLP, Information Retrieval, and Analytics is essential.

• Health Insurance • Medical Insurance • Dental Insurance • Vision Insurance • Prescription Insurance • Basic Life Insurance • AD&D Insurance • Registered Retirement Savings Plan (RRSP) • Deferred Profit Sharing Plan (DPSP) • Paid Time Off

• Analyse de donnéesSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Natural Language Processing
• Information Retrieval
• Analytics
• Deep Learning
• Computer Vision
• People Management
• Algorithm Development
• Technical Design
• Stakeholder Management
• Roadmap Planning
• Causal Reasoning
• Active Learning
• Generative AI
• Predictive AI
• Software Systems Architecture

• Science & Research
• Management & Leadership
• Technology
• Software
• Data & Analytics

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine