Data Scientist II, Business Ops Analytics

4 weeks ago

Arlington, Virginia, United States Amazon Full time
We are seeking a Data Scientist to join our analytics team.

This person will own the design and implementation of scalable and reliable approaches to support or automate decision making throughout the business.


You will do this by analyzing data with a variety of statistical techniques and then building, validating, and implementing models based your analysis.

You will not be able to do this alone but by building partnerships across data, engineering, and business teams.

Key job responsibilities

  • Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult customer or business problems and cases in which the solution approach is unclear.
  • Proactively seek to identify business opportunities and insights and provide solutions to automate and optimize key internal and external products based on a broad and deep knowledge of Amazon data, industry bestpractices, and work done by other teams.
  • Dive deep into the data and other models across the business to identify defects or inefficiencies which materially impact the customer or business, but can be mitigated through corrective actions for the AB Ops use case
  • Acquire this data by accessing data sources and building the necessary SQL/ETL queries or scripts.
  • Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.
  • Build models and automated tools using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.
  • Validate these models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.
  • Implement these models in a manner which complies with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.
  • Enable product engineering teams to consume your models through services which can directly power customerfacing experiences.
  • Inspect the key business metrics/KPIs (even if you did not create them) when your analytics work points to potential gaps or opportunities; providing clear, compelling analyses by leveraging your knowledge across the AWS suite of products to support the broader business.
About the team

Amazon Business (AB) launched in the United States in April 2015 with the vision of delivering a comprehensive procurement solution for business customers of all sizes.

In the US, AB now serves Fortune 500 companies, hospital systems, local governments, and education organizations.

To support AB's mission, the AB Operations team owns end to end customer experience for AB customers right from checkout to final mile delivery and sits under the broader Global Transportation Services (GTS).

We are the Single Threaded WW Ops team driving B2B operations, developing products and programs unique to business customers, and enhancing the core Amazon delivery capabilities for commercial addresses.

While Amazon has built its core operations over the last two decades mostly catered towards the end-consumer, we recognize that the business customers have unique needs and require a different set of features and services from their e-Commerce provider.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Bellevue, WA, USA

BASIC QUALIFICATIONS

  • 3+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
  • Master's degree
PREFERRED QUALIFICATIONS

  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company
  • If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply
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

Our compensation reflects the cost of labor across several US geographic markets.

The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/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.

For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

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