Data Scientist II

s 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, GCP, 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 [email protected].

If you have a question regarding your application, please contact [email protected].

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