Overview
On Site
Full Time
Skills
Customer service
Innovation
Decision-making
Data acquisition
Data quality
Data Analysis
Testing
Regression analysis
Clustering
Data Science
Statistics
Computer science
Python
R
Data manipulation
Relational databases
Statistical models
Machine Learning (ML)
Deep learning
Algorithms
Communication
Presentations
Microsoft Azure
Google Cloud Platform
Google Cloud
Snow flake schema
Big data
Apache Spark
Amazon Web Services
Cloud computing
Amazon SageMaker
Amazon Redshift
Data Visualization
Tableau
SQL
Retail
Electronic commerce
Law
Privacy
Job Details
Data Scientist II
Summary:
We are seeking a hard-working and passionate Data Scientist II to join our growing team. In this role, you will play a crucial part in empowering our Chewy Customer Care teams with cutting-edge data solutions that drive rapid innovation, informed decision-making, and outstanding customer and agent experiences. As a Data Scientist II, you will be a key contributor throughout the entire data science lifecycle, from data acquisition and preparation to model development, deployment, and communication of results. You will have the opportunity to work on diverse projects and contribute directly to the success of the company.
Responsibilities:
Collect, prioritize, and prepare data for analysis from various sources, ensuring data quality and integrity.
Conduct detailed exploratory data analysis using statistical techniques and visualizations to uncover patterns, trends, and insights.
Construct new features from existing ones to improve model performance, including feature creation, transformation, and selection.
Apply statistical methods (e.g., descriptive statistics, hypothesis testing) to understand data distributions, relationships, and draw meaningful conclusions.
Select and build appropriate machine learning models (e.g., regression, classification, clustering) based on the problem and data characteristics.
Evaluate model performance using relevant metrics (e.g., accuracy, precision, recall, F1-score), and fine-tune models to achieve efficient results.
Interpret model results, identify key drivers and insights, and communicate findings optimally to both technical and non-technical stakeholders.
Build compelling visualizations to present data insights and tell a clear and concise story that resonates with the audience.
Work closely with cross-functional teams (e.g., product managers, engineers, business analysts) to understand business needs and translate them into data-driven solutions.
Qualifications:
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
3+ years of experience as a Data Scientist, with a consistent track record of delivering impactful results.
Strong programming skills in Python or R, with proficiency in data manipulation libraries.
Experience with SQL and relational databases.
Proven understanding of statistical modeling and machine learning and deep learning algorithms.
Excellent communication and presentation skills, with the ability to explain sophisticated technical concepts to diverse audiences.
Nice to Have:
Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform, Snowflake).
Familiarity with big data technologies (e.g., Spark, Iceberg, dbt).
Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift).
Experience with data visualization tools (e.g., Tableau, Streamlit, Text to SQL).
Knowledge of retail and e-commerce.
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact
If you have a question regarding your application, please contact
To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Summary:
We are seeking a hard-working and passionate Data Scientist II to join our growing team. In this role, you will play a crucial part in empowering our Chewy Customer Care teams with cutting-edge data solutions that drive rapid innovation, informed decision-making, and outstanding customer and agent experiences. As a Data Scientist II, you will be a key contributor throughout the entire data science lifecycle, from data acquisition and preparation to model development, deployment, and communication of results. You will have the opportunity to work on diverse projects and contribute directly to the success of the company.
Responsibilities:
Collect, prioritize, and prepare data for analysis from various sources, ensuring data quality and integrity.
Conduct detailed exploratory data analysis using statistical techniques and visualizations to uncover patterns, trends, and insights.
Construct new features from existing ones to improve model performance, including feature creation, transformation, and selection.
Apply statistical methods (e.g., descriptive statistics, hypothesis testing) to understand data distributions, relationships, and draw meaningful conclusions.
Select and build appropriate machine learning models (e.g., regression, classification, clustering) based on the problem and data characteristics.
Evaluate model performance using relevant metrics (e.g., accuracy, precision, recall, F1-score), and fine-tune models to achieve efficient results.
Interpret model results, identify key drivers and insights, and communicate findings optimally to both technical and non-technical stakeholders.
Build compelling visualizations to present data insights and tell a clear and concise story that resonates with the audience.
Work closely with cross-functional teams (e.g., product managers, engineers, business analysts) to understand business needs and translate them into data-driven solutions.
Qualifications:
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
3+ years of experience as a Data Scientist, with a consistent track record of delivering impactful results.
Strong programming skills in Python or R, with proficiency in data manipulation libraries.
Experience with SQL and relational databases.
Proven understanding of statistical modeling and machine learning and deep learning algorithms.
Excellent communication and presentation skills, with the ability to explain sophisticated technical concepts to diverse audiences.
Nice to Have:
Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform, Snowflake).
Familiarity with big data technologies (e.g., Spark, Iceberg, dbt).
Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift).
Experience with data visualization tools (e.g., Tableau, Streamlit, Text to SQL).
Knowledge of retail and e-commerce.
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact
If you have a question regarding your application, please contact
To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.