- 15+ years of industrial/academic experience in predictive modeling, forecasting, deep learning or related fields.
- PhD degree in Computer Science, Engineering, or equivalent.
- Familiar with programming languages such as C/C++, Java, Perl, Python or Matlab. Preferred Qualifications
- A track record of influencing software shipped at scale using your science expertise.
- Experience working with real-world complex data sets and building models at Amazon scale. 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 Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets.The base pay for this position ranges from $240,100/year in our lowest geographic market up to $350,000/year in our highest geographic market.
Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Amazon is a total compensation company.Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site. -
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Description
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Arlington, VA, USA | Austin, TX, USA | Boston, MA, USA | Chicago, IL, USA | Los Angeles, CA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA | Simi Valley, CA, USA Basic Qualifications
