Data Scientist II

Chewy • Boston, MA

3d

About The Position

Our Opportunity: 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.

Requirements

• 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 Haves

• 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.

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.

Benefits

• 401k
• new hire and annual equity grant
• annual bonus
• medical/Rx insurance
• vision insurance
• dental insurance
• life insurance
• disability insurance
• hospital indemnity insurance
• critical illness insurance
• accident insurance
• parental leave
• family services benefits
• backup dependent care
• flexible spending accounts
• telemedicine
• pet adoption reimbursement
• employee assistance program
• 10% off pet insurance
• 20% off at Chewy.com
• unlimited PTO (subject to manager approval)
• six paid holidays
• paid sick and family leave (in compliance with applicable state and local regulations)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level