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Applied Scientist, Amazon

Amazon.com Services LLC

Seattle, Washington, 98188

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Salary:

$136000 - $140000 Year

Job type:

Monday to Friday
Others

Job Schedule:

Day shift
10 hour shift
Others

Job benefits:

Health insurance
Paid time off
Dental insurance
Vision insurance
401(k)
Others

Description:

Key job responsibilities
As an Applied Scientist on this team, you will:

- 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 deploying 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.

BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 3+ 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

PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development

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

Skill:

Communication
Teamwork
Organizational
Computer
Problem solving
Open mindedness
technology
Others

Others Requirements:

No experience needed
3 years
Others

Category:

Finance

Positions:

5

Location:

In-person