Senior Applied Scientist, People eXperience & Technology Central Science (PXTCS)
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
The People eXperience and Technology Central Science Team (PXTCS) uses economics behavioral science statistics and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives wellbeing and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.
We are seeking a senior Applied Scientist with expertise in more than one or more of the following areas: machine learning natural language processing computational linguistics algorithmic fairness statistical inference causal modeling reinforcement learning Bayesian methods predictive analytics decision theory recommender systems deep learning time series this role you will lead and support research efforts within all aspects of the employee lifecycle: from candidate identification to recruiting to onboarding and talent management to leadership and development to finally retention and brand advocacy upon exit.
The ideal candidate should have strong problem-solving skills excellent business acumen the ability to work independently and collaboratively and have an expertise in both science and engineering. The ideal candidate is not methods-driven but driven by the research question at hand; in other words they will select the appropriate method for the problem rather than searching for questions to answer with a preferred method. The candidate will need to navigate complex and ambiguous business challenges by asking the right questions understanding what methodologies to employ and communicating results to multiple audiences (e.g. technical peers functional teams business leaders).
About the team
We are a collegial and multidisciplinary team of researchers in People eXperience and Technology (PXT) that combines the talents of science and engineering to develop innovative solutions to make Amazon Earths Best Employer. We leverage data and rigorous analysis to help Amazon attract retain and develop one of the worlds largest and most talented workforces.
- 3 years of building machine learning models for business application experience
- PhD or Masters 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
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 183800.00 - 248700.00 USD annually
USA VA Arlington - 167100.00 - 226100.00 USD annually
USA WA Seattle - 167100.00 - 226100.00 USD annually
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
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