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Sr Applied Scientist, Private Brands Intelligence

Amazon

Our mission: To be Earth's most customer-centric company.

DESCRIPTION

Job summary
The Private Brands Selection Guidance team is looking for a Sr. Applied Scientist to join our team in building science solutions at scale. Our team applies Machine Learning, Reinforcement Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business. We also develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.

You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable ML models. You will partner with scientists, economists, and engineers to help invent and implement scalable ML, RL, and econometric models while building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. We are particularly interested in candidates with experience building predictive models and working with distributed systems.

As a Sr Applied Scientist, you bring business and industry context to science and technology decisions. 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, acquiring expertise as needed. You decompose complex problems into straightforward solutions.

To know more about Amazon science, Please visit https://www.amazon.science

BASIC QUALIFICATIONS

  • PhD degree plus 5 years of research experience in Computer Science, Statistics, Operations Research, or another quantitative field; or equivalent.
  • Proficiency with scripting languages (e.g. Python) and statistical/mathematical software (e.g. R, SAS, Matlab).
  • Deep knowledge of statistics, machine learning, and/or deep learning.
  • Excellent communication, writing and presentation skills.
  • Ability to deliver under tight deadlines.

PREFERRED QUALIFICATIONS

  • Experience with reinforcement learning, causal inference, and/or time series forecasting.
  • Experience developing software in traditional programming languages. (C++, Java, etc.)
  • Significant peer-reviewed scientific contributions in premier journals and conferences.
  • Demonstrated ability to serve as a scientific lead.

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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Sr Applied Scientist, Private Brands Intelligence

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Amazon

Our mission: To be Earth's most customer-centric company.

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