Amazon.com Services LLC

Applied Science, north america stores

Sr.AppliedScientist,WWPromotionsScience

$100–226k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Applied Scientist, WW Promotions Science at Amazon.com Services LLC. Skills: Machine learning, Causal inference, Forecasting, Optimization. Invent or adapt scientific approaches. Adapt models or algorithms”

What You'll Achieve.

Improve strategic business decision-making; Personalize promotional shopping experience; Recommend promotions strategies; Rank promotions strategies; Optimize promotions strategies; Drive business decision making at scale; Launch new pricing algorithms; Launch new promotion strategies; Understand short-term value; Understand long-term value; Prioritize budget allocations; Set optimal prices; Set optimal promotions; Define innovative price guardrails; Define innovative incentives; Optimize for long-term program health

Industry & Context.

Applied Science, north america stores
Problems you'll solve

Solve complex business problems; Solve core business problems

What They're Looking For.

Must Have

5+ years building ML models, PhD or Master's degree and 6+ years applied research, Experience programming Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning

Nice to Have

Experience with modeling tools R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience with large scale distributed systems Hadoop, Spark

What You'll Do.

Invent or adapt scientific approaches

Adapt models or algorithms

Produce research papers

Describe design choices

Contribute to operational excellence

Analyze method performance

Analyze model performance

Champion adoption of advancements

Help new teammates ramp up

Understand customer needs

Understand solution functionality

Understand scientific components

How You'll Work.

Team & Collaboration

Collaboration across teams; Collaboration with functions; Collaborative with teammates; Collaboration with partners; Collaboration with stakeholders

Communication Scope

Research papers; Reports

Full Job Description

Amazon's Worldwide Promotions organization is seeking a strong Sr. Applied Scientist to help solve complex business problems involving promotional strategies at a global scale. This Sr. Applied Scientist will operate in a team of other scientists and economists. Our team applies causal inferences, statistics, machine learning, forecasting, optimization, economics, and experimentation to drive actionable insights and to improve strategic business decision-making. This is an individual contributor role that requires collaboration across teams and functions to solve core business problems for the company around setting new promotional strategies as we incorporate more elements of personalization into the promotional shopping experience. The work is part of significant scientific investments in promotions intelligence systems that personalize, recommend, rank, and optimize promotions strategies across different surfaces in the Store. Key job responsibilities - Invent or adapt new scientific approaches, models, or algorithms inspired and driven by customers' needs and benefits - Produce research papers and reports that have the same level of correctness, scholarship, usefulness, completeness, depth, rigor, and originality as a top-tier external publication - Implement solutions that will be deployed into production or directly support production systems - Write clear, useful documentation describing algorithms and design choices in your components to make it possible for others to understand and reproduce your work - Contribute to operational excellence in the team's deliverable - Analyze the performance of your methods and models to understand the gaps, and iteratively propose solutions to improve - Champion the adoption of scientific advancements in the team - Help new teammates ramp up and understand who our customers are, what their needs are, how the team's solutions work, and how scientific components fit in those solutions A day in the life As a Sr. Applied Scient

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