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Sr. Applied Scientist

Company: Amazon.com, Inc.
Location: Irvine
Posted on: June 6, 2021

Job Description:

Take the earth's most customer-centric company. Mix in millions of

shoppers spending billions of dollars annually and an opportunity to use

your skills in machine learning and data mining to improve product

recommendations and search. What do you get? The best job in the

internet today - PERIOD.

The charter of Amazon's Personalization team is to recommend the "right" product to the "right" customer at the "right" time. We generate

personalized product recommendations for millions of customers each day, in a blink of an eye, thousands of times a second.

If you are a strong software engineer with a background in Machine

Learning, who is passionate about turning massive amounts of data into

actionable insights, then this is the right opportunity for you.

You will work with a team of highly skilled and motivated scientists and

engineers, who are building the next generation of personalization

products at Amazon. Our team advances the state-of-the-art in

personalization by using machine learning, and leveraging Amazon's vast computing resources (AWS) and data. As part of your job, you will deal with large amounts of training data, rapidly prototype new models that meet stringent performance requirements, and perform offline and online testing.

Major responsibilities:

  • Research and use of statistical techniques to create scalable

solutions for business problems

  • Analyze and extract relevant information from large amounts of

Amazon's historical business data to help automate and optimize key

features and processes

  • Work closely with scientists and engineering teams to create and

deploy new features

  • Work closely with stakeholders to optimize various business operations
  • Establish scalable, efficient, automated processes for large scale

data analyses, model development, validation and implementation.

  • Track general business activity and provide clear, compelling

management reporting on a regular basis

By submitting your application here, you can apply once to be considered for multiple Software Engineer openings across various Amazon teams. If you are successful in passing through the initial application review and assessment, you will be asked to submit your career and personal preferences so that our dedicated recruiters can match you to the right role based on these preferences.

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

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

  • PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
  • 3+ years of experience in building machine learning models for business application
  • Experience programming in Java, C++, Python or related language
  • 3+ years of experience in software development. Experience building large platform systems.
  • Jack of many development languages: C++, Java, Python, master in some.
  • Experience with full development life cycle for large-scale software products including extensive experience with service oriented architectures, design patterns, web services, and web applications/services development.
  • Demonstrated success delivering high quality, innovative products based on rapidly evolving technologies.
  • Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.
  • Experience with with AWS AI/ML/Big data technologies and services (Spark, Hadoop and AWS (EMR, EC2, S3)
  • Solid understanding of A/B testing and designing statistical tools targeted at non-statistical users
  • Ability to engage and influence senior leaders and experience with working with cross-functional internal teams.
  • Exceptional writing and verbal communications skills.
  • Proven track record leading, mentoring, and growing teams of scientists.
  • Experience in advertising, website optimization, recommender systems
  • A self-starter who loves data and who enjoys spotting the trends in it!

Keywords: Amazon.com, Inc., Irvine , Sr. Applied Scientist, Other , Irvine, California

Click here to apply!

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