Applied Scientist, CBA

2 days ago


Seattle WA United States Amazon Full time

Job ID: 2839509 | Amazon.com Services LLC

Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast-paced, technologically sophisticated, and friendly work environment. Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real-world problems? Do you want to play a key role in the future of Amazon's Retail business? This job is for you The Customer Behavior Analytics (CBA) team at Amazon is responsible for the architecture, design, and implementation of tools used to understand customer behavior and value generation for all Amazon programs. Come and join us


Amazon’s CBA team is looking for Applied Scientists, who can work at the intersection of machine learning, statistics, and economics, and leverage the power of big data to solve complex problems like long-term causal effect estimation.


As an applied scientist, you will bring statistical modeling and machine learning advancements to analyze data and develop customer-facing solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box pragmatic thinking. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with machine learning models and causal inference. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.


Key job responsibilities
  1. Understand and mine the large amount of data, prototype and implement new learning algorithms and prediction techniques to improve long-term causal estimation approaches.
  2. Collaborate with product managers and engineering teams to design and implement solutions for Amazon problems.
  3. Design, build, and deploy effective and innovative ML solutions to improve various components of our ML and causal inference pipelines.
  4. Publish and present your work at internal and external scientific venues in the fields of ML and causal inference.

BASIC QUALIFICATIONS
  1. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
  2. Knowledge of programming languages such as C/C++, Python, Java or Perl.
  3. Experience building machine learning models or developing algorithms for business application.
  4. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

PREFERRED QUALIFICATIONS
  1. Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  2. Experience in professional software development.

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.


Posted: June 11, 2024 (Updated about 5 hours ago)

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