Senior Data Scientist, Advertising

Seattle, Washington, USA

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Amazon.com

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Job summary
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

The Detail Page Blended Widgets team is chartered with building novel product recommendation experiences. We are building differentiated recommendations that highlight specific characteristics of products (either direct attributes, inferred or machine learned), on top of advertised and non-advertised products across the whole Amazon catalog. We use state-of-the-art statistical, ML, and deep learning approaches to render the right products to the right shoppers at the right time to help shoppers accomplish their shopping mission, help advertisers to reach to the right audience and maximize their product sales, and help Amazon grow the long-term cash flow.

As a Senior Data Scientist on this team you will:
  • Lead Data Science solutions from beginning to end.
  • Deliver with independence on challenging large-scale problems with complexity and ambiguity.
  • Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.
  • Build Machine Learning and statistical models to solve specific business problems.
  • Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
  • Analyze historical data to identify trends and support optimal decision making.
  • Apply statistical and machine learning knowledge to specific business problems and data.
  • Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.
  • Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.
  • Build decision-making models and propose effective solutions for the business problems you define.
  • Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.

Team video ~ https://youtu.be/zD_6Lzw8raE

Basic Qualifications


  • Bachelor's Degree
  • 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
  • 4+ years working as a Data Scientist

  • Advanced Degree in Computer Science, Mathematics, or related quantitative field of study.
  • Experience in as many of the following areas: causal inferencing, multi-variate testing & design, A/B testing & design, descriptive analytics, and regression analysis.
  • Good understanding of supervised and unsupervised learning models.

Preferred Qualifications

  • Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
  • Broad knowledge of ML methods, statistical analysis, and problem-solving skills.
  • Expert level knowledge in statistics and sophisticated user of statistical tools.
  • Experience in data applications using large scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive).
  • Experience processing, filtering, and presenting large data sets (hundreds of millions/billions of rows).
  • Combination of deep technical skills and business sense, to interface with all levels and disciplines within our customer’s organization.
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
  • Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.
  • Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.
  • Experience in computational advertising desired, but not required.



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.


Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/year in our lowest geographic market up to $202,800/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. Applicants should apply via our internal or external career site.

Tags: A/B testing Computer Science Deep Learning Distributed Systems Economics Elasticsearch Engineering Hadoop Machine Learning Mathematics Matlab Python R Research SAS Scala Spark SQL Statistics Testing

Perks/benefits: Career development Equity

Region: North America
Country: United States
Job stats:  9  2  0
Category: Data Science Jobs

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