Data Scientist, Alexa AI

Amazon.com, Inc.
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  • Experience

    2-4 year
  • Salary

    $150,000-$160,000
  • Location

    Seattle, WA, USA
  • Job Function

    Data Scientist
  • Industry

    Information Technology
  • Qualification

    Degree in Computer Engineering, Degree in Finance, Degree in Computer Science, Degree in Data Science, Degree in Machine Learning, PhD Degree, Degree in Mathematics, Degree in Statistics, Degree in Economics, Degree in Business Analytics

Key Skills

Java Programming, Python Programming, Database, SQL, MATLAB Programming, R Programming, Stata, SAS, Large scale data processing, ETL frameworks

Job Description

Job summary

At Amazon's Alexa Web Info, our vision is to delight customers by answering questions they ask Alexa on any device or any language by leveraging the power of web.

Alexa is changing the world and specifically how customers engage with AI. We are a tight night growing team in Alexa AI and we are creating a compelling business.

We are seeking an innovative and technically strong data scientist with a track record of surfacing actionable insights from our data.

To be successful in this role, you have a strong passion for analytics and accountability, set high standards with a focus on superior business outcome.

You should also have strong business acumen who feels comfortable tackling ambiguous business problems in dynamic business environment. Your decision will influence VP and Director level product and business decisions that directly impact product roadmap and customer experience.

Key job responsibilities

The successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, data science, and strong business acumen.

As a Senior Data Scientist, you will discover and solve real world problems by analyzing one of the world’s largest datasets, developing statistical and machine learning models to drive business decisions, leading science research and development roadmap. You will also collaborate closely with business leaders, software engineers, and scientists.

  • You will function as the tech lead of the team, setting the best practices for delivering high quality data science projects, influencing analytics roadmap, setting best practices, and providing guidance to the junior scientists.
  • You will work on high visibility and high business impact problems. You will spend time formulating and defining science problem based on business requirements.
  • You will translate business problems into analytical framework and form testing hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps
  • You have real-world experience solving medium to large sized statistical and machine learning projects. You will work on a diverse set of analytics problems, such as user growth, pricing, forecasting, causal inference, marketing research, experimentation, and other machine learning problems

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
  • Bachelor’s degree in a quantitative area such as math, statistics, computer science, economics, engineering or equivalent experience.
  • 3+ years of professional experience in a business environment or advanced degree in a quantitative field.
  • Experience with A/B testing, statistics and model development.
  • Proficient in using SQL, ETL, Data Warehouse solutions and databases in a business environment with large-scale, complex datasets.
  • Ability to process large data sets from multiple data sources.
  • Ability to solve complex business problems.

Ability to convey mathematical results to non-science stakeholders

  • Strong communication and data presentation skills.

PREFERRED QUALIFICATIONS

  • PhD degree in a quantitative discipline such as Statistics, Mathematics, Data Science, Computer Science or Machine Learning, Business Analytics, Economics, Finance, Engineering or related field
  • Strong problem solving and analytical abilities
  • 4+ years of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, STATA etc.)
  • Strong verbal and written communication skills and an ability to work in a team environment

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 Seattle, WA, USA with average base salary of $150,000-$160,000 per year.

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