Data scientist • richmond bc
Would you like to work on developing AI systems models for one of the largest transactional distributed systems in the world? How about working with customers and peers from the entire range of Ama... Show more
Overview Data Entry Specialist 3 months contract, could transition to permanent employment Vancouver West Side Location Monday - Friday 9-5 Pay: 26.We are seeking a dedicated Data Entry Specialist ... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
About JobGet As the #1 app focused on everyday workers, JobGet is redefining the future of hiring.Founded in 2019, JobGet began as the only mobile-first hiring platform for everyday workers.Since t... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
Join a company that is passionately committed to the pursuit of a better world through positive change.With more than 70 years of business and technical expertise in.With practical solutions that a... Show more
Data Entry Specialist (Medical Records).Shift: 7:00 AM – 3:30 PM, 5 days a week.Type: Full-time (9-hour days, includes a 30-min lunch + two 15-min breaks).Are you fast on a keyboard, detail-oriente... Show more
It involves the construction and operation of a liquefied natural gas (LNG) export facility on the previous Woodfibre pulp mill site, which would have a storage capacity of 250,000 m3 and would pro... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
Vancouver H/O - Canfor/CWPM_1000.The Enterprise Analytics function at Canfor has a vision to deliver data, information and tools to employees at all operating levels and across all business lines t... Show more
We are looking for a Lead Applied AI and Data Scientist to establish and lead the applied AI & data science practice, a new capability within IFS Copperleaf’s AI Engineering & Transformatio... Show more
Located in the heart of downtown Vancouver, between the Pacific Ocean and the Coast Mountains, Teck’s Corporate Office sits in one of Canada’s most culturally diverse cities.Surrounded by world-ren... Show more
Metro Vancouver’s business sector.We specialize in the recruitment and placement of outstanding employees across temporary, contract, permanent, and executive positions.As a BC-owned and operated a... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
Do you enjoy solving complex problems, building relationships with collaborators, and continuously learning in a fast-paced and innovative environment? As a member of the Process Development, Biolo... Show more
What We do: iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail.Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of... Show more
Putting people first, every day.BDO is a firm built on a foundation of positive relationships with our people and our clients.Each day, our professionals provide exceptional service, helping client... Show more
Would you like to work on developing AI systems models for one of the largest transactional distributed systems in the world? How about working with customers and peers from the entire range of Amazon's business and Science on complex real world problems, backed with high volume data ? Whether you're passionate about building highly scalable and reliable systems or a scientist who likes to solve business problems, Amazon Tax Platform Services is the place for you.
We are responsible for the tax calculation platform, providing the core services that calculate taxes (sales tax and VAT) for all Amazon sales, physical and digital, globally. We seek to provide the correct tax amounts to the customer when placing their Amazon order, and ensure all records are stored safely to meet tax law requirements around the globe. 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, and each one needs to be accurate.
As an Applied scientist, you will provide machine learning leadership to the team that helps increase the accuracy of Tax classification based product information in Amazon catalogue making it the biggest and most challenging tax classification using Machine learning models globally. You will work with large language models, to build various machine learning models to predict accuracy of human's on specific tasks, reason with large volumes of systems and legislative changes to identify causal determinants, apply generative AI to model outcomes from sparse data.
You will help us innovate different ways to enhance tax classification experience for our global customers.
You will need to be entrepreneurial, work in a highly collaborative environment with SDEs, Product managers and businesses. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality.
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.
