Data Scientist II

Job Description:
We are hiring awesome humans, and we hope that includes you!
Are you looking for more than just a job? At Chewy, you'll find yourself on a career path with other amazing humans, like yourself. You'll be part of a culture that values everything that you do, who you are, and the goals you have set for your career. We want to give you the opportunity to grow, earn competitive pay, and be happy while you do it. Sounds simple, but we love it.
Your Opportunity:
We are looking for a Data Scientist within Chewy's growing Customer Care team in Richardson, TX. 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.
As part of the Customer Care data science team at Chewy, you will have the opportunity to provide structure to business problems for new and existing Chewy customers by applying data science principles to build, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis.
What You'll Do:

• 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.

What You'll Need:

• 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.

Bonus:

• 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.

What You'll Get:

• A place where you can be your authentic self and grow your career. Our pet parents and partners are from everywhere--different places and different walks of life. It is what makes them unique. Likewise, Chewtopians are encouraged to bring their perspectives to deliver on our mission!
• Work in a culture that cares, with managers who value you and your career journey. Be empowered to think big, thrive on delivering results, and to become your best.
• Development of meaningful connections with a diverse group of Chewtopians through Team Member Resource Groups and celebrate inclusivity with various company events, programs, and activities.
• Comprehensive medical, dental, vision benefits, in addition to wellness programs and resources, enabling you to be your best self in and outside of work.

The base salary range for this role is $110,000 - $191,500.

• The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. 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].
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