Data Scientist II

Chewy Chewy · Retail · Richardson, TX +3

Data Scientist II at Chewy focused on building data solutions for customer care teams, involving the full data science lifecycle from data prep to model deployment and communication. The role emphasizes applying statistical methods and machine learning models to improve performance and interpret results for stakeholders.

What you'd actually do

  1. Collect, prioritize, and prepare data for analysis from various sources, ensuring data quality and integrity.
  2. Conduct detailed exploratory data analysis using statistical techniques and visualizations to uncover patterns, trends, and insights.
  3. Construct new features from existing ones to improve model performance, including feature creation, transformation, and selection.
  4. Apply statistical methods (e.g., descriptive statistics, hypothesis testing) to understand data distributions, relationships, and draw meaningful conclusions.
  5. Select and build appropriate machine learning models (e.g., regression, classification, clustering) based on the problem and data characteristics.

Skills

Required

  • Python or R
  • SQL
  • statistical modeling
  • machine learning algorithms
  • deep learning algorithms
  • communication
  • presentation skills

Nice to have

  • AWS
  • Azure
  • GCP
  • Snowflake
  • Spark
  • Iceberg
  • dbt
  • Glue
  • Sagemaker
  • Athena
  • Redshift
  • Tableau
  • Streamlit
  • Text to SQL
  • retail
  • e-commerce

What the JD emphasized

  • cutting-edge data solutions
  • rapid innovation
  • outstanding customer and agent experiences
  • entire data science lifecycle
  • machine learning models
  • model performance
  • interpret model results
  • sophisticated technical concepts

Other signals

  • customer experience
  • agent experience
  • data solutions
  • innovation
  • decision-making