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Amazon

Sr. Applied Scientist

Seattle, WA

DESCRIPTION

How can we help Amazonians make more informed decisions about talent? How can we ensure our talent strategy and guidance is optimized for long-term value? How can we architect insights and systems to anticipate business talent demand and proactively identify and develop talent to fill these future needs? How do we effectively leverage econometrics, predictive algorithms, machine learning, UX design, and product development to answer these critical questions? These are among the most important challenges at Amazon today.

We are looking for a senior scientist who wants to help us define the future of talent evaluation, development, and management at Amazon. You will leverage data, customer feedback, algorithm design, machine learning, econometrics, and predictive analytics to help define new ways to evaluate, visualize, predict, and understand talent outcomes and decisions like hiring, promotions, and transfers. After you have developed peer-reviewed scientific solutions to these unique problems, you will partner with economists, data scientists, software engineers, data engineers, applied scientists, product managers, and UX designers to deliver your solution to tens of thousands of internal customers through world-class product experiences. This is an opportunity to fundamentally redefine talent management for one of the largest and most complex workforces in the world.

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If you have an entrepreneurial spirit, are passionate about helping those around you reach their fullest human potential, know how to deliver, and view technology as a way to disrupt and reimagine talent management processes, we want to talk to you.

Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.

Flexibility
It isn't about which hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.

BASIC QUALIFICATIONS

• PhD/M.S. in Computer Science, Machine Learning, Operational Research, Statistics, or a related quantitative field
• At least 5+ years of hands-on experience in developing and applying models in a production environment
• Strong software design, coding, problem solving, and complexity analysis skills
• Experience in at least one scripting language (Perl, Python, or similar)

PREFERRED QUALIFICATIONS

• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
• Excellent verbal and written communication skills
• Experience with fast prototyping
• Familiarity with AWS services (S3, Redshift, Sagemaker, Glue)
• Ability to work on a diverse team or with a diverse range of coworkers
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.

Job ID: Amazon-1050315
Employment Type: Other

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