Data Scientist, Sponsored Products (Level 5), Sp Market Intelligence

Description

This role is available in New York, NY, Arlington, Virginia, Los Angeles CA, or Toronto, Canada.

Calling all inventors to work on exciting new opportunities in Sponsored Products. Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses, driving long-term growth. Sponsored Products (SP) helps merchants, retail vendors, and brand owners grows incremental sales of their products sold on Amazon through native advertising. SP achieves this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. We are a highly motivated, collaborative and fun-loving group with an entrepreneurial spirit and bias for action.

Key job responsibilities

You will join a team with a broad mandate to experiment and innovate, which gives us the flexibility to apply data analysis and modeling with very large data-sets to solve to novel product problems. You will have opportunity to design and run A/B experiments to improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. More importantly, you will have the opportunity to broaden your technical skills in an environment that thrives on creativity, experimentation, and product innovation.

About The Team

The Marketplace Intelligence (MI) organization makes real-time decisions on quantity, quality and placement of Sponsored Products (SP) to deliver an efficient and customized shopping experience for shoppers, and improved discoverability and sales for advertisers. We create a self-tuning marketplace that automatically and robustly responds to external changes. We build measurement, simulation, experimentation and auction run-time infrastructure that enables us to scale and move fast. We develop marketplace controls to promote a sustainable, healthy advertising marketplace and raise the bar on ‘customer-obsessed advertising’ for the E-Commerce industry.

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

Santa Monica, CA, USA

Basic Qualifications

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Bachelor's degree
• Experience applying theoretical models in an applied environment
• 2+ years of data scientist experience

Preferred Qualifications

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

Company - Amazon.com Services LLC

Job ID: A2409036