Data Scientist II

Chewy Chewy · Retail · Bellevue, WA

Data Scientist II role focused on developing data science infrastructure and pipelines, utilizing machine learning and statistical frameworks for deployment, and creating algorithms to optimize models and business metrics. Requires experience with large datasets, distributed computing, AWS tools (Redshift, Snowflake, SageMaker), Python, and data visualization.

What you'd actually do

  1. Develop data science infrastructure and data pipelines that improve data quality.
  2. Use machine learning or statistical frameworks in both development, testing, and production environments to create and deploy new technologies.
  3. Identify opportunities for data science to improve current products and practices for business engineering teams.
  4. Create machine learning or statistical algorithms to optimize and deliver results by reducing computational complexity, increasing the accuracy of models, and improving business metrics.
  5. Perform data ET, statistical and analytical analyses, and communicate insights and recommendations to Chewy management to make informed decisions.

Skills

Required

  • Master's degree in Business Administration, Data Science, Analytics, or related field
  • 3 years of experience as a Data Scientist or related position
  • Experience working with large datasets using distributed computing tools
  • Experience with Amazon Web Services tools such as Redshift, Snowflake, Google Big Query, SageMaker or other similar platforms
  • Object-oriented programming with Python
  • Experience with data visualization tools and packages (Tableau or similar)

Other signals

  • Develop data science infrastructure and data pipelines that improve data quality.
  • Use machine learning or statistical frameworks in both development, testing, and production environments to create and deploy new technologies.
  • Create machine learning or statistical algorithms to optimize and deliver results by reducing computational complexity, increasing the accuracy of models, and improving business metrics.