Data Scientist, YETI

Seattle, Washington, USA

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Posted 3 weeks ago

Our Team
The YETI team harnesses financial analytics, science, and technology to crack WW Consumer Finance’s toughest challenges and power smart decision-making throughout the organization. We are data leaders who deliver today’s actionable financial analyses and tomorrow’s durable frameworks and software.
Key responsibilities
We are looking for an outstanding data scientist to drive forecasting initiatives throughout WW Consumer Finance. You will develop core science-based forecasting methodologies for all of WW Consumer Finance and build scalable forecasting models for financial metrics. The forecasts you build will provide insight into the drivers of future financial performance and help to guide future plans throughout the Consumer business.
This role is a unique opportunity to work with a world-class forecasting organization to build science-based financial forecasts from the ground up and reinvent how Finance operates at Amazon scale. You will own and accelerate components of an automated, scalable science-based forecasting system to save Amazonians millions of hours a year. This is a critical initiative for which you will partner with senior finance and science leaders to identify, prioritize, and resolve endemic capabilities gaps.
The ideal candidate combines data science acumen with strong business judgement. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned analysts, economists, data scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.

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

Preferred Qualifications

· PhD-level training in computer science, statistics, or highly quantitative field OR an MS with 2+ years experience on a data, research, or applied science team OR equivalent applied research experience
· Excellent written and verbal communication skills on quantitative topics
· Expertise in applying supervised and unsupervised algorithms to large-scale data
· Keen judgment for balancing research depth and pacing
· Able to operate autonomously in scoping, executing, and delivering projects
· Undergraduate-level knowledge of investments, corporate finance, and accounting
· Excitement to shape a growing team and state-of-the-art technology for Amazon Consumer Finance

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

Job tags: Finance Matlab Python R Research SQL
Job region(s): North America
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