Data Scientist, Measurement Products

Amazon.com, Inc.
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  • Experience

    2-4 year
  • Salary

    $150,000-$160,000
  • Location

    New York, NY, USA
  • Job Function

    Data Scientist
  • Industry

    Information Technology
  • Qualification

    Degree in Computer Engineering

Key Skills

Java Programming, Design, Python Programming, SQL, Apache Hadoop, Scala Programming, A/B Testing, MATLAB Programming, Apache Hive, Apache Pig, Elasticsearch, R Programming, Amazon EMR, SPARK Programming, Large scale data processing

Job Description

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 are strategically important to our Retail and Marketplace 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 Ad Measurement team develops and deploys solutions fueled by machine learning to support Amazon Advertisers in their strategic campaign planning. Leaning on rich data points, we provide measurements, predictions and diagnostics that separate Amazon Advertising from all other media. To do this, our team must bring a diverse set of Statistical Machine Learning skills including Computer Vision, Deep Learning Natural Language Processing models, Marketing Mix and Response Models, and Brand Sentiment and Lift analysis.

As a Data Scientist on this team, you will:

  • Collaboratively engage in challenging large-scale problems with ambiguity.
  • Use code (Python, R, Scala, etc.) to analyze data and build 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.
  • Assist with analyzing historical data to identify trends and support decision making.
  • Apply statistical and machine learning knowledge to specific business problems and data.
  • Engage with decision-making models and propose solution for business problems
  • Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.

Why you will love this opportunity: Amazon is investing 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
  • 1+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
  • 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

  • Experience in as many of the following areas: causal learning, multi-variate testing, hypothesis testing, and A/B Testing
  • Experience in data applications using large scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive).
  • Broad knowledge of ML methods, statistical analysis, and problem-solving skills.
  • Expert level knowledge in Statistics; sophisticated user of statistical tools.
  • Experience processing, filtering, and presenting large quantities (hundreds of millions/billions of rows) of data
  • Combination of deep technical skills and business savvy enough 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 is a plus.

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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