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Applied Scientist III, BR Stores - CM & RVM

Amazon is hiring an Applied Scientist III, BR Stores - CM & RVM in São Paulo, Brazil. Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this applied scientist role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions TensorFlow and scikit-learn among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.
  • Posted within the past two weeks.

AI in this role

TensorFlowscikit-learn
Do you like working on projects that are highly visible and are tied closely to Amazon’s growth? Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's AWS cloud services? The Amazon International Technology Team is hiring Applied Scientists to work in our Software Development Center in Sao Paulo. The Intech team builds International extensions and new features of the Amazon.com web site for individual countries and creates systems to support Amazon operations. We have already worked in Germany, France, UK, India, China, Italy, Brazil and more.

Key job responsibilities
About you
You want to make changes that help millions of customers. You don’t want to make something 10% better as a part of an enormous team. Rather, you want to innovate with a small community of passionate peers. You have experience in analytics, machine learning and big data, and a desire to learn more about these subjects. You want a trusted role in strategy and product design. You put the customer first in your thinking. You have great problem solving skills. You research the latest data technologies and use them to help you innovate and keep costs low. You have great judgment and communication skills, and a history of delivering results.
Your Responsibilities
- Define and own complex machine learning solutions in the consumer space, including targeting, measurement, creative optimization, and multivariate testing.
- Influence the broader team's approach to integrating machine learning into business workflows.
- Advise senior leadership, both tech and non-tech.
- Make technical trade-offs between short-term needs and long-term goals.

Basic qualifications

- Experience in building machine learning models for business application
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

Preferred qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Applied Scientist III, BR Stores - CM & RVM at Amazon rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

TensorFlowscikit-learn

Also common in applied scientist jobs at this level

Pay

Typical applied scientist job
$169k

This posting doesn't list pay. Use the typical applied scientist figure when pay comes up. See applied scientist jobs

Questions you could be asked

  1. What's a project where you used TensorFlow hands-on?
  2. Walk me through how you've used scikit-learn in your day-to-day work.

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  • List these exact terms on your resume: TensorFlow and scikit-learn. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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