Applied Scientist II
Toronto, Ontario, CAN
Amazon.com
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Job summary
Terms of employment: Full time, permanent
Job location: 40 King Street West 47th Floor Toronto, ON, M5H 3Y2; Amazon Development Centre Canada, ULC Amazon Development Centre Canada, ULC.
Salary range: $149,300 - $249,300 commensurable with experience.
Language requirement: English
JOB DESCRIPTION
As an Applied Scientist, you will innovate and be responsible for working across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and create predictive models to determine how we can best serve our customers.
Your key responsibilities will include:
• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
• Run A/B experiments, gather data, and perform statistical analysis
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
• Research new and innovative machine learning approaches.
• Recruit Applied Scientists to the team and provide mentorship.
• PhD in Engineering, Computer Science, Statistics or related technical field plus 2 years of work experience in the job offered or related occupation, or equivalent graduate level research experience.
• Will accept Master's degree in Engineering, Computer Science, Statistics, or related technical field plus 4 years of work experience in the job offered or related occupation, or equivalent graduate level research experience.
• 4 years (or 2 years if PhD) experience with machine learning technologies and rules-
based systems.
• 2 years of experience programming in Java, C++, Python or related language.
• 2 years of experience with the entire life-cycle (requirements definition through
specification, design, coding, quality assurance, implementation, integration, launch and production support) of a shipped product or online service.
• 2 years of experience producing peer reviewed research reports or publications in the field of machine learning, statistics, or data mining.
Benefits: Amazon provides a full range of benefits for our global employees and their eligible family members. This position is eligible for further pay increases and bonuses at the company's discretion. Eligible employees may also receive signing bonuses and Amazon Restricted Stock Units.
While they might vary from location to location, Amazon benefits for Canada may include: • Health Care • Savings Plans • Income Protection • Paid Time Off • Signing Bonuses • Employee Stock Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Amazon is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodations, please notify us when/if you are selected for an interview.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Terms of employment: Full time, permanent
Job location: 40 King Street West 47th Floor Toronto, ON, M5H 3Y2; Amazon Development Centre Canada, ULC Amazon Development Centre Canada, ULC.
Salary range: $149,300 - $249,300 commensurable with experience.
Language requirement: English
JOB DESCRIPTION
As an Applied Scientist, you will innovate and be responsible for working across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and create predictive models to determine how we can best serve our customers.
Your key responsibilities will include:
• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
• Run A/B experiments, gather data, and perform statistical analysis
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
• Research new and innovative machine learning approaches.
• Recruit Applied Scientists to the team and provide mentorship.
Basic Qualifications
• PhD in Engineering, Computer Science, Statistics or related technical field plus 2 years of work experience in the job offered or related occupation, or equivalent graduate level research experience.
• Will accept Master's degree in Engineering, Computer Science, Statistics, or related technical field plus 4 years of work experience in the job offered or related occupation, or equivalent graduate level research experience.
• 4 years (or 2 years if PhD) experience with machine learning technologies and rules-
based systems.
• 2 years of experience programming in Java, C++, Python or related language.
• 2 years of experience with the entire life-cycle (requirements definition through
specification, design, coding, quality assurance, implementation, integration, launch and production support) of a shipped product or online service.
• 2 years of experience producing peer reviewed research reports or publications in the field of machine learning, statistics, or data mining.
Preferred Qualifications
All applicants must meet all qualifications listed above.Benefits: Amazon provides a full range of benefits for our global employees and their eligible family members. This position is eligible for further pay increases and bonuses at the company's discretion. Eligible employees may also receive signing bonuses and Amazon Restricted Stock Units.
While they might vary from location to location, Amazon benefits for Canada may include: • Health Care • Savings Plans • Income Protection • Paid Time Off • Signing Bonuses • Employee Stock Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Amazon is committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodations, please notify us when/if you are selected for an interview.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Tags: A/B testing Computer Science Data analysis Data Mining Engineering Machine Learning ML models PhD Python Research Statistics
Perks/benefits: Career development Health care
Region:
North America
Country:
Canada
Job stats:
34
6
0
Category:
Data Science Jobs
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