Data Scientist I

Bellevue, WA, United States

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 awesome 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 leverages 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, transparency, 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 apply data science principles to design, test, implement, and develop data-based solutions, including reporting, building predictive models, statistical analyses, and working with large language models to capture employee issues, concerns and suggestions.

What You’ll Do:

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

Create data visualizations to effectively communicate insights to leaders

Apply science methods to design, test, and scale effective, reliable frameworks, systems, and models to improve the usefulness of big data and predictive applications

Research and remain current on machine learning and optimization techniques

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

Strong grasp of descriptive statistics, probability, hypothesis testing, and regression modeling

Skilled in Python or R for 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

What You’ll Get:

A team on forefront of machine learning and AI, offering abundant opportunities for career growth and development.

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 Employee 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.

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.

Non-exempt hourly team members accrue paid time off (PTO) while salaried-exempt team members have unlimited PTO, subject to manager approval. Non-exempt hourly team members in Fulfillment Centers and Customer Service are also eligible for additional unplanned unpaid time off (UTO). 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 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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