Senior Applied Scientist

1 week ago


Seattle, Washington, United States Amazon Full time

Overview: The Private Brands Discovery division is at the forefront of developing advanced machine learning methodologies aimed at enhancing customer engagement with Amazon's proprietary brands. This team comprises a diverse group of Scientists and Engineers dedicated to creating groundbreaking solutions that leverage state-of-the-art technology to tackle complex scientific challenges faced by Amazon.

Role Responsibilities:

  • Lead applied science initiatives in machine learning from conception through to implementation, focusing on innovative strategies to enhance customer interactions with Private Brands.
  • Analyze customer behavior to inform marketing and merchandising tactics, ensuring that our solutions align with consumer needs.
  • Propose and validate innovative concepts to improve models and algorithms, supported by thorough experimentation and preliminary findings.
  • Develop novel approaches to overcome technical challenges and facilitate advanced analyses that inform critical technical and business strategies.
  • Communicate findings, insights, and reports effectively to both technical and business stakeholders.
  • Provide constructive feedback on peer research and mentor junior team members.
  • Contribute to the broader scientific community at Amazon and engage with external research networks.

Qualifications:

  • Minimum of 8 years of experience in developing machine learning models for commercial applications.
  • At least 4 years of experience in applied research.
  • PhD or Master's degree with a minimum of 5 years of applied research experience.
  • Proficiency in programming languages such as Java, C++, or Python.
  • Experience with neural networks and machine learning techniques.

Preferred Skills:

  • Familiarity with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, and scipy.
  • Experience with large-scale distributed systems such as Hadoop and Spark.

Diversity and Inclusion: Amazon is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

Compensation: Our compensation structure reflects the labor market across various US regions. The base salary for this role ranges from $150,400 to $260,000, depending on geographic location and individual qualifications. Additional compensation may include equity, sign-on bonuses, and a comprehensive benefits package.



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