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DESCRIPTION

This position can be based in Seattle, WA, or Vancouver, Canada.

Are you passionate about driving business & customer impact through thoughtful analysis and data-driven insights? Are you a deeply technical individual who enjoys working with customers to transform how a business operates? Are you a builder that excels with ambiguity? We are looking for a Data Science professional to drive our analytical revolution in the Talent Acquisition (TA) space. You get the opportunity to work on a ground up rebuild of our analytical capabilities, from data ingress, to complex business transformations to end user reporting and beyond. In this role, you will invent and build on behalf of candidates, experiment and test new ideas, evangelize successes, and drive consistency.

The Sr. Data Scientist will work closely with other scientists and engineers to design and run experiments, research new algorithms, and find new ways to optimize Amazon recruiting technology's orchestration system. This role will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. A Data Scientist at Amazon applies scientific principles to support significant invention, develops software code and are deeply involved in bringing their algorithms to production. They also work on cross-disciplinary efforts with other scientists within Amazon.

Key job responsibilities

The key strategic objectives for this role include:

  • optimizing the existing statistical inference behind the orchestration logic (e.g., seasonality and trend-adjusted baseline data);
  • cluster, and benchmark cycle time and conversion (pass rate)
  • derive full entitlement, and recommending priorities (e.g., low hanging fruit)
  • research input variables and timing.

A day in the life

This role will participate in the organization's weekly and monthly business reviews (hereon abbreviated as WBR and MBR), also planning cycle. He/she will update entitlement forecast quarterly, and use WBR to track key metrics and MBR to update stakeholders with narrative-based program status and the next milestones. This role will be supported with BIE and engineers with both analysis and maintaining code package in production.

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

Seattle, WA, USA

BASIC QUALIFICATIONS

  • 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 4+ years of data scientist experience
  • Experience with statistical models e.g. multinomial logistic regression

PREFERRED QUALIFICATIONS

  • 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
  • Experience managing data pipelines
  • Experience as a leader and mentor on a data science team

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 https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

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Confirmed 2 hours ago. Posted 30+ days ago.

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