Data Scientist, Advertiser Behavior Analytics

Amazon.com, Inc.
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  • Experience

    2-4 year
  • Salary

    $170,000-$180,000
  • Location

    New York, NY, USA
  • Job Function

    Data Scientist
  • Industry

    Information Technology
  • Qualification

    Degree in Computer Engineering, Degree in Mathematics, Degree in Statistics, Degree in Economics

Key Skills

Java Programming, Design, Python Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, A/B Testing, Apache Pig, Elasticsearch, R Programming, Amazon EMR, SPARK Programming

Job Description

Are you interested in shaping the future of Advertising and B2B Marketing? We are a growing machine learning science and engineering team with an exciting charter and need your passion, innovative thinking, and creativity to help take our products to new heights.

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 are strategically important to our businesses driving 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 Advertiser Behavior Analytics (ABA) Team owns a set of Machine Learning models and services that identify and recommend key strategic opportunities for the advertisers on Amazon, and that prioritize Amazon’s scaled and 1:1 marketing activities. We inspire our advertising customers by highlighting the value they can derive from using key advertising product features, and provide them with education and support to get the most out of them. We are a dynamic team of economists, business intelligence engineers, scientists and software developers with a charter that influences every part of Amazon’s advertising community.

A strategic part of our charter is to build a portfolio of self-service, cost-per-click advertising programs to enable both large and small advertisers to engage with customers in relevant ways. Core to these programs is our understanding of our advertisers and marketing programs from a robust analytical perspective. Teams are dedicated to diving deep into telemetry and performance data to drive insights and future marketing strategy to grow our self-service advertising programs among advertisers.

As a Data Scientist on this team, you will:

  • Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models tailored to business needs, and collaborating with Scientists, Engineers, BIEs, and Product Managers.
  • Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.
  • Apply statistical and machine learning knowledge to specific business problems and data.
  • Build decision-making models and propose solutions for the business problem you define.
  • 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.
  • Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions are needed.
  • Given anecdotes about anomalies or using automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.
  • 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 ads 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.

About the hiring group:

BASIC QUALIFICATIONS

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

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

Company Info.

Amazon.com, Inc.

Amazon.com, Inc. is an American multinational technology company with operations in cloud computing, streaming media, artificial intelligence, and e-commerce. The company has been referred to as one of the most influential economic and cultural forces in the world, and it is one of the world's most valuable brands.

  • Industry
    E-commerce,Entertainment
  • No. of Employees
    1,610,000
  • Location
    Arlington, VA, USA; Seattle, WA, USA
  • Website
  • Jobs Posted

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