Senior Data Scientist

As a Senior Data Scientist at Chewy, your responsibilities will include developing and implementing advanced models and algorithms to tackle complex supply chain challenges, utilizing machine learning and reinforcement learning technologies. You will analyze extensive supply chain data to derive insights and recommendations while collaborating with various teams such as Demand Planning and Transportation to optimize supply chain processes. Additionally, you will drive process improvements to enhance operational metrics, ultimately impacting our entire supply chain strategy.

To qualify for the Senior Data Scientist role at Chewy, candidates should possess an advanced degree, such as an M.S. or PhD, in Computer Science, Operations Research, Statistics, Applied Mathematics, Engineering, or a related field. You should have at least 5 years of hands-on experience in developing and deploying machine learning models in cloud environments, alongside 2+ years of experience in operations research modeling. Proficiency in Python and SQL, strong leadership skills, and the ability to effectively manage multiple projects are also essential for this role.

At Chewy, we believe in the power of teamwork and collaboration. As a Senior Data Scientist, you will leverage collaborative programming tools like Git and Confluence to enhance team communication and project management. By working closely with other departments within the Supply Chain such as Demand Planning and Transportation, you will contribute to generating innovative solutions that meet our operational needs, creating a collective impact on our supply chain performance.

In the Senior Data Scientist role at Chewy, you can expect to work on a variety of projects related to supply chain optimization, such as designing new models for inventory management and exploring data analytics to improve procurement strategies. Daily challenges may include uncovering insights from vast data resources, implementing solutions to enhance supply chain efficiencies, and spearheading new initiatives that drive process improvements, contributing significantly to the company's success.

Senior Data Scientists at Chewy are positioned for significant professional growth due to the company's commitment to innovation and excellence within the supply chain domain. By taking on challenging projects and working in a cutting-edge environment, you will refine your skills in machine learning and operations research. Moreover, leadership and mentorship opportunities are available as you are encouraged to lead teams and initiatives, enabling you to advance your career within a thriving organization.

In responding to this question, highlight specific machine learning projects you've undertaken, particularly those addressing supply chain optimization, such as inventory management or demand forecasting. Be prepared to discuss the models used, the data analysis process, and the impact of your solutions on supply chain operations.

Explain your structured approach to data analysis, including the steps you take to clean, visualize, and interpret large datasets. Discuss the tools and techniques you use, emphasizing how your findings directly inform supply chain strategies.

When answering, emphasize your ability to simplify technical jargon into clear concepts that resonate with non-experts. Share examples of how you've successfully presented insights to stakeholders, perhaps using visualizations or storytelling methods that emphasize the practical implications of your findings.

Share a specific project where you took the lead and outline your methodologies, challenges, and key outcomes. Focus on how your actions benefited the supply chain and improved efficiencies, and how you engaged with stakeholders throughout the project.

Discuss your perspective on the importance of advanced analytics in modern supply chain management. Elaborate on how predictive modeling and data-driven decision-making can lead to more efficient operations and enhance competitive advantage in the industry.

Explain the criteria you use to assess project value, urgency, and alignment with business goals. Talk about any frameworks or tools you've employed to manage competing demands effectively and deliver on multiple projects simultaneously.

Discuss your familiarity with cloud platforms like AWS, Azure, or Google Cloud, specifically in deploying your machine learning models. Highlight any relevant projects or experiences that showcase your capability to manage cloud-based systems effectively.

Share your strategies for validating models, conducting A/B tests, and assessing metrics such as accuracy and precision. It's important to convey your commitment to maintaining high standards for your data science projects.

Discuss your leadership style and any experiences you've had mentoring junior team members. Illustrate how you foster a collaborative environment, encourage knowledge-sharing, and promote professional growth within your team.

Highlight your admiration for Chewy's commitment to customer service and innovation in the e-commerce space. Discuss how your values align with the company's mission, and convey your enthusiasm for contributing to the optimization of its supply chain.