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Data Scientist, Creators

$125,500 - $212,800/Yr

Amazon.com - Seattle, WA

posted 29 days ago

Full-time - Entry Level
Seattle, WA
General Merchandise Retailers

About the position

Are you a passionate Data Scientist (DS) ready to shape the future of digital content creation? At Amazon, we're building Earth's most desired destination for creators to monetize their unique skills, inspire the next generation of customers, and help brands expand their reach. We build innovative products and experiences that drive growth for creators across Amazon's ecosystem. Our team owns the entire Creator product suite, ensuring a cohesive experience, optimizing compensation structures, and launching features that help creators achieve both monetary and non-monetary goals.

Responsibilities

  • Collaborate with cross-functional leaders from business development, marketing, product, and engineering to implement measurable, data-driven strategies
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation
  • Perform large-scale experimentation to identify hidden relationships between variables in large datasets
  • Implement statistical, machine learning, or other mathematical methodologies to solve specific business problems
  • Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data
  • Foster a culture of continuous learning and innovation

Requirements

  • Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
  • 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
  • 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • Experience in communicating technically, at a level appropriate for the audience
  • 2+ years of data scientist experience

Nice-to-haves

  • Experience in Python, Perl, or another scripting language
  • Experience in a ML or data scientist role with a large technology company
  • Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
  • Experience applying theoretical models in an applied environment
  • Experience implementing algorithms using both toolkits and self-developed code
  • Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance

Benefits

  • Equity
  • Sign-on payments
  • Medical benefits
  • Financial benefits
  • Other benefits
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