Description

The People eXperience and Technology (PXT) Central Science Team uses science, engineering and working-backwards thinking to proactively identify mechanisms, process improvements and products, which simultaneously improve Amazon as well as Amazonians’ lives, wellbeing, and value of work. We are an interdisciplinary team which combines the talents of science (machine learning, statistics, economics, and behavioral science), engineering and product to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping to accelerate informed, accurate, and reliable decision backed by science and data.

In this role you will own the science strategy and technical implementation innovations for our predictive modeling and forecasting work-streams. These machine learning work-streams include existing models and future models that power PXT experiences for leaders across Amazon to make decisions about their businesses. You will also serve as the strategic science advisor to PXT leaders operating at the Director, VPs, and SVP level. In particular, you will identify opportunities where science investment can have material impact on our long-term objectives or annual goals and build consensus around the needed investments. You comfortably work across different domains (cost forecasting, employee event prediction, etc.) and different modeling techniques (lightGBM, Deep NN, etc.), guiding our principal and senior scientists in their most challenging and strategic decisions. You are hands-on and you will personally own development and delivery of most complex science modeling and implementation problems (e.g., our Generative AI application evaluation goal). You will stay current with emergent AI/ML science and engineering trends and influence our focus areas in a rapidly evolving landscape. You’ll also participate in organizational planning, hiring, mentorship and leadership development. We are looking for a leader who can thrive in a startup environment, thinks big, move fast, and wants to change the way leaders use data to drive business success. If you excel at proposing and developing such opportunities and are passionate about creating the future of employee experiences, come join us as we work hard, have fun, and make history.

We are open to hiring candidates to work out of one of the following locations:

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

· 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 https://www.amazon.jobs/en/disability/us.

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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.