Amazon Applied Scientist II

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Job Details

Posted date: Sep 26, 2024

There have been 21 jobs posted with the title of Applied Scientist II all time at Amazon.
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Location: Seattle, WA

Estimated salary: $179,100
Range: $136,000 - $222,200

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 and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

The Advertiser and Marketing Performance team is responsible for driving accurate and scalable measurement processes that will enable Marketing and Program Managers to accelerate continuous improvement across our marketing channels and advancing Advertiser performance at scale by focusing on insights and analytics that unlock Advertiser success.

As a Applied Scientist on this team, you will:

-Apply your expertise in causal modeling and ML to develop systems that describe how Amazon’s marketing campaigns impact customers’ actions

-Design, execute, and analyze experiments to verify the efficacy of different scientific solutions in production

-Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation

-Work with marketing leadership to align our measurement plan with business strategy

-Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data

-Apply statistical and machine learning knowledge to specific business problems and data.

-Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.

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 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

Extended Qualifications

- Experience in patents or publications at top-tier peer-reviewed conferences or journals

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.



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