You're using an older version of Internet Explorer that is no longer supported. Please update your browser.
AbeBooks

Senior Applied Scientist APM Negotiation Intelligence

Location
Canada
Details
Full Time
3 days ago
The Automated Profitability Management (APM) team, part of the Selling Partners Services (SPS) organization, improves the long term success of Amazon Retail by driving lower costs, and unlocking new product selection. Our team builds software and machine learning (ML) models to optimize contract negotiations between tens of thousands of vendors offering millions of products and Amazon. We directly influence the end-customer experience worldwide by determining the optimal combination of terms under which Amazon should acquire its inventory. We focus on product costs but also cover supply chain (Who pays the initial shipping costs?), marketing (Should a vendor fund advertising?), reverse-logistics (Who pays for damaged products? What about unsold inventory?) and more. Our mission is to provide to our customers the world's largest product assortment at competitive prices, through long term partnership with our vendors.

As an Applied Scientist in APM, you bring structure to ambiguous business problems and use science, logic, and practical experience to decompose them into straightforward, scalable solutions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems; you're interested in learning; and you acquire skills and expertise as needed. This individual will be able to work equally well with Science, Engineering, Economics and business teams. This person will have sound judgment and help recruit and groom high caliber science talent.

Key Responsibilities
  • Drive collaborative research and creative problem solving
  • Constructively critique peer research and mentor junior scientists and engineers
  • Create experiments and prototype implementations of new learning algorithms and prediction techniques
  • Collaborate with engineering teams to design and implement software solutions for science problem
  • Contribute to progress of the Amazon and broader research communities by producing publications


BASIC QUALIFICATIONS

  • PhD degree with 4+ years of applied research experience or a Master's degree and 6+ years of applied research experience
  • 3+ years of experience in building machine learning models for business application
  • Experience with machine learning, data mining, and/or statistical analysis tools
  • Significant hands-on experience with at least two programming languages, such as Python, Scala, Java, C# or similar languages
  • Excellent communication, writing and presentation skills


PREFERRED QUALIFICATIONS

  • Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
  • 6+ years of practical experience applying ML to solve complex problems in an applied environment
  • Significant peer-reviewed scientific contributions in premier journals and conferences with high quality citations/h index
  • Strong CS fundamentals in data structures, problem solving, algorithm design and complexity
  • Strength in clarifying and formalizing complex problems
  • Ability to convey mathematical results to non-science stakeholders
  • Experience with defining research and development practices in an applied environment
  • Proven track record in technically leading and mentoring scientists
  • Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
Category
Science