Amazon.com Services LLC

Data Scientist, Amazon Associates

Job description

  • Bachelor's Degree
  • 1+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
Job summary
Are you passionate about big data, enjoy solving complex analytical problems, build predictive and descriptive analytics to drive growth at web scale - all in a challenging, fast-paced environment? Amazon’s affiliate marketing program, Amazon Associates, spans a large number of websites and blogs worldwide. These sites and bloggers create compelling original content to help customers make informed purchase decisions on Amazon. The Affiliate Marketing Sciences team is responsible for analyzing vast amounts of data on customer transits and purchases influenced by associates, generating insights, building models and developing recommendations to drive growth of the program. We are looking for an experienced Data Scientist to work backwards from customers, create models and develop insights, deliver impact, and drive growth of the Associates Program worldwide.

As a Data Scientist in the Amazon Associates org, you will be working with business stakeholders, product/program managers, developers and executives to deeply understand customer problems and priorities. You will form hypotheses, analyze the corpus of associates and customer data using statistical methods, build predictive models, generate recommendations to address a range of problems across the associates program. These span developing insights on customer and associates engagement trends, building models to inform rates and bounties, defining segmentation for marketing, building customized guidance to optimize associates engagement with customers, developing risk models and reputation scores, etc. Your expertise will enable us to accelerate the grow of the associates business. You will be comfortable with big data systems, intimately familiar with machine learning and statistical methods, and experienced in applying these to solve business problems. You will have a strong bias towards customer obsession and delivering results while dealing with ambiguity in fast-paced dynamic environments.

The ideal candidate should have excellent communication skills to work closely with stakeholders to translate business needs into methodology and data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and ability to work in a fast-paced and ever-changing environment.

Roles and Responsibilities
  • Work with business teams, product managers, engineers and leadership to identify and prioritize customer and business problems
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  • Translate problems into specific analytical questions and form hypotheses that can be answered with available data using statistical methods or identify additional data needed in the master datasets to fill any gaps
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  • Perform hands-on data analyses and modeling with huge datasets to develop insights and recommendations to inform decisions across the program
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  • Design and run A/B experiments to validate the hypotheses and evaluate the impact of your optimizations and communicate your results to various stakeholders
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  • Collaborate with engineers and product managers to build scalable solutions and new capabilities
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  • Coach others on the team with a systematical peer review and & model proposal evaluation
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  • Communicate and influence senior management and implement novel and statistical approaches
This role can be based in Seattle or NYC.

  • A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
  • Expert-level knowledge of SQL
  • Practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems.
  • Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts
  • Experience building high-performance, highly-available and scalable distributed real-time analytical solutions
  • Meets/exceeds Amazon’s leadership principles requirements for this role
  • Meets/exceeds Amazon’s functional/technical depth and complexity for this role
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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