Amazon Sr Principal Applied Scientist People eXperience 

United States, New York, New York 

891434219

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.

· 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.

· 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.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.