Applied Science Manager - People Technology
Amazon
Vancouver, BC, CA
6d ago

Be part of a team that is driving the expansion of Amazon globally. The Recruiting Technologies team is responsible for the architecture, design, implementation and delivery of systems that touch the entire organization.

The Recruiting Technologies team is creating an industry leading candidate experience; developing, building, and innovating global, scalable recruiting technology solutions that are intelligent, powerful and light-weight.

This team and the technologies we own are critical for Amazon’s continued growth and launching of new products and services.

We are seeking an exceptionally talented Machine Learning Science manager to lead a team of scientists that will help define the way that Amazon hires in areas of Matching, Forecasting and Recruitment optimizations.

We are looking for someone who is a self-starter, has an inquisitive mind that finds surprising needles in haystacks of data on a regular basis.

A successful candidate will have experience successfully leading teams, developing people, and building and deploying models into production.

This person must have strong written and verbal communications skills, as well as an entrepreneurial spirit, the ability to influence others and strong cross-functional leadership.

This person needs to have good judgment and passion for helping customers discover the right product at the right time. As the single threaded leader, you will hire, coach, and lead your team of data scientists and machine learning scientists to leverage the wealth of Amazon’s information and develop innovative models and insights that surface actionable insights.

You and your team will have expertise in a broad range of data science methodologies and combine this knowledge with a deep understanding of ML and data challenges.

BASIC QUALIFICATIONS

  • Masters or PhD Degree in Computer Science, Machine Learning, AI, Statistics, or equivalent experience.
  • 5+ years experience applying ML to solve complex problems for large-scale applications;
  • 2+ years experience managing Machine Learning Scientists;
  • Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives;
  • Ability to manage and quantify improvement in recruiting experience the business resulting from research outcomes;
  • Experience hiring, promoting and leading experienced ML / Data scientist and Engineers as well as a successful record of developing junior members from academia / industry to a successful career track
  • PREFERRED QUALIFICATIONS

  • PhD in Computer Science, Machine Learning, AI, Statistics, or equivalent;
  • Extensive knowledge and practical experience in several of the following areas : machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval;
  • Track record of scientific publications in premier journals and conferences;
  • Skilled with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language;
  • Professional experience in software development (software design and development life cycle);
  • Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives;
  • Ability to manage and quantify improvement in recruiting experience resulting from research outcomes;
  • Project management experience for working on cross-functional projects;
  • Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems;
  • Strong track record of hiring and leading experienced scientists as well as a successful record of developing junior members from academia / industry to a successful career track;
  • Excellent verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
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