Applied Scientist II , Selling Partner Recruitment and Success

Amazon; Seattle (WA); On-site; USD 136,000 - 224,000; Full time

Job summary

An established industry player is seeking an Applied Scientist II to enhance their Selling Partner Recruitment and Success organization. This role involves leveraging data-driven insights to refine recruitment strategies and foster seller success. As part of a talented team, you will tackle complex problems using statistical models, mentor fellow scientists, and drive innovative solutions that impact the broader scientific community. If you're passionate about using data to empower businesses and have a strong background in machine learning and programming, this opportunity is perfect for you.

Benefits

Medical Benefits

401(k) Plan

Employee Discounts

Flexible Work Hours

Paid Time Off

Career Development Programs

Qualifications

• PhD or Master's with 4+ years in CS, CE, ML or related field.
• Experience in programming languages like Java, C++, Python.
• Expertise in algorithms, data mining, and numerical optimization.

Responsibilities

• Identify opportunities to improve SP recruitment through statistical solutions.
• Mentor applied scientists and ensure technical rigor in MLOps.
• Lead complex science projects to enhance seller experiences.

Skills

Statistical Modeling

Machine Learning

Data Mining

Programming in Java

Programming in Python

Algorithms and Data Structures

Education

PhD in Computer Science

Master's Degree in Computer Science

Tools

Unix/Linux

High-Performance Computing

Job description

Applied Scientist II , Selling Partner Recruitment and Success

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Description

Join us in the evolution of Amazon’s Seller business! The Selling Partner Recruitment and Success organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.

Description

Join us in the evolution of Amazon’s Seller business! The Selling Partner Recruitment and Success organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.

We are looking for an Applied Scientist II to lead us to identify data-driven insight and opportunities to improve our SP recruitment strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).

Key job responsibilities

As An Applied Scientist On The Team, You Will

• Identify opportunities to improve SP recruitment and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).
• Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.
• Lead and execute roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.
• Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
• Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.
• Be responsible for communicating our science innovations to the broader internal & external scientific community.
  
  

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• 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

• Experience using Unix/Linux
• Experience in professional software development
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A2954644

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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