Amazon
Sr. Principal Applied Scientist, People eXperience and Technology Central Scienc
Amazon, Boston, New York, United States,
Sr. Principal Applied Scientist, People eXperience and Technology Central Science
Job ID: 2562073 | Amazon.com Services LLCThe People eXperience and Technology (PXT) Central Science Team uses science, engineering, and working-backwards thinking to proactively identify mechanisms, process improvements, and products that simultaneously improve Amazon as well as Amazonians’ lives, wellbeing, and value of work. We are an interdisciplinary team that 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-making 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 a material impact on our long-term objectives or annual goals and build consensus around the needed investments. You will 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 the development and delivery of the 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, moves 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.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.
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Job ID: 2562073 | Amazon.com Services LLCThe People eXperience and Technology (PXT) Central Science Team uses science, engineering, and working-backwards thinking to proactively identify mechanisms, process improvements, and products that simultaneously improve Amazon as well as Amazonians’ lives, wellbeing, and value of work. We are an interdisciplinary team that 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-making 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 a material impact on our long-term objectives or annual goals and build consensus around the needed investments. You will 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 the development and delivery of the 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, moves 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.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.
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