Senior Data Scientist, Detail Page Allocation

Found in: beBee S CA - 2 weeks ago

Toronto, Canada Amazon Full time
DESCRIPTION

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day

As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.

Key job responsibilities
- Deliver independently on challenging large-scale problems with high complexity and ambiguity.
- Define customer problems, propose effective solutions, and define solution metrics.
- Partner with Engineers to deliver experiments and deep dive results to report on improvement across key metrics.
- Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
- Analyze historical data to identify shopper or business trends.
- Build Machine Learning and statistical models to solve business and customer problems.
- Given anecdotes about anomalies, deep dive to explain why they happen and identify fixes.
- Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

We are open to hiring candidates to work out of one of the following locations:

Toronto, ON, CAN

BASIC QUALIFICATIONS

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Bachelor's degree
- Experience with statistical models e.g. multinomial logistic regression

PREFERRED QUALIFICATIONS

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team

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.

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