Data Scientist, Sponsored Products Signal Innovation Team

Amazon.com, Inc.
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  • Experience

    2-4 year
  • Salary

    $190,000-$200,000
  • Location

    New York, NY, USA; Seattle, WA, USA; Palo Alto, CA, USA; Arlington, VA, USA
  • Job Function

    Data Scientist
  • Industry

    Information Technology
  • Qualification

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

Key Skills

A/B Testing, Analytical and Problem solving, Apache Hadoop, Apache Hive, Apache Pig, Design, Elasticsearch, Java Programming, MATLAB Programming, Python Programming, R Programming, Sampling methods, SAS, Scala Programming, SPARK Programming, SQL, Statistical modeling

Job Description

Job summary

Open to locations in New York City, Seattle, Palo Alto, Toronto, and Arlington.

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. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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!

We are looking for a Data Scientist for the Sponsored Products Signal Innovation team. Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. This team works on identifying key data quality improvement opportunities and solving complex engineering, optimization, econometric, and data science problems to deliver relevant product ads on Amazon search pages world-wide. Using a combination of big-data analytics, machine learning and experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.

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, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, 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 solution 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 needed.
  • Given anecdotes about anomalies or generate 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 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

Key job responsibilities

  • Solve real world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.
  • Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
  • Deliver with independence on challenging large scale problems with ambiguity.
  • Manage and drive the technical and analytical aspects of Advertiser segmentation; continually advance approach and methods.
  • 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 decision making.
  • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
  • Provide requirements to develop analytic capabilities, platforms, and pipelines.
  • Apply statistical or machine learning knowledge to specific business problems and data.

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: measurement problems, 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 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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Amazon.com, Inc. is currently hiring Data Scientist Jobs in New York, NY, USA; Seattle, WA, USA; Palo Alto, CA, USA; Arlington, VA, USA with average base salary of $190,000-$200,000 per year.

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