Data Scientist I

We are hiring fantastic 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 incredible 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 Enterprise People Analytics (EPA) team located in Bellevue, WA or Boston, MA. This is a dynamic and innovative organization dedicated to fostering a data-driven culture within our HR department. Our People Analytics team uses data and analytics to drive strategic decision-making, enhance employee experience, and support the overall growth and development of our workforce.

The EPA team is committed to revolutionizing the employee experience by harnessing the power of data and analytics. With a focus on analytics, data science, machine learning, and AI, we aim to anticipate workforce trends, optimize talent management practices, and create personalized experiences that empower employees to thrive. Through collaboration, clarity, and ethical data practices, we envision a future where data-driven HR transforms every aspect of the workplace, driving sustainable growth and success for Chewy and its employees. 

Within this role you will use data science principles to develop, implement, and refine machine learning models and algorithms that solve real-world problems. The ideal candidate will showcase a portfolio or examples of their work that have been efficiently implemented in a production environment.

 What You’ll Do:

• Experiment with different machine learning techniques and tools to optimize model performance.
• You will dive into massive datasets, uncover and tackle real-world challenges, and create impactful metrics and reasons that drive the success of this program.
• The ideal candidate will take a customer-first approach to uncover insights and pinpoint actions that can enhance the customer experience and boost program conversion.
• Collect, clean, and preprocess HR data from various sources (e.g., AWS, Snowflake) to ensure data quality and integrity
• Conduct exploratory data analysis to identify trends, patterns, and anomalies in HR data
• Develop and implement statistical models and algorithms to analyze employee data, including turnover, engagement, and performance ratings
• Apply science methods to design, test, and scale effective, reliable frameworks, systems, and models to improve the usefulness of big data and predictive applications
• Collaborate with cross-functional teams to support HR initiatives and projects with data-driven insights

What You’ll Need:

• Master’s degree or equivalent experience in statistics, computer science, data science, psychometrics, or related fields
• 1+ years of relavant expreince
• Experience in deploying models into production environments and optimizing them for performance and scalability
• Base knowledge of machine learning algorithms, both classical (e.g., regression, decision trees) and modern (e.g., deep learning, reinforcement learning)
• Strong problem-solving skills and a passion for learning and applying new technologies
• Strong grasp of descriptive statistics, probability, hypothesis testing, and regression modeling
• Skilled in Python, data workflows including tidying, wrangling, visualization, modeling, scripting, and reporting
• Competent in SQL for data extraction and manipulation, including complex joins and common table expressions
• Proficient in statistical and machine learning techniques, with a strong attention to detail and a passion for data
• Proficient in developing dashboards using BI tools like Tableau, Power BI, Looker, or similar platforms
• Excellent team collaboration skills paired with effective communication abilities to simplify complex concepts for non-expert stakeholders

Bonus:

• Utilized GitHub, Airflow, or AWS for software development and automation
• Proficient with data management tools like Knime or Alteryx
• Applied Plotly, Streamlit, or D3 for interactive data visualization and presentation
• Translated ambiguous customer requirements into well-defined problem statements and delivered solutions effectively

Compensation & Benefits: 

Our salary range for a Data Scientist I position is $100,000.00 - $159,000.00. 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.

We offer different types of insurance, 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.

Salaried-exempt 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.