Data Scientist Iii

Our Opportunity:

We are looking for a Data Scientist III at our facility in Plantation, Florida, to partner with demand planning, operations, and supply planning to provide best in-class forecast to support mission critical cross functional planning and execution of functional areas including but not limited to Supply Chain, Marketing, and Merchandising.

What You'll Do: 

• Assess, interpret, and analyze the data in development of thorough, accurate, and supportable forecasting models and reporting.
• Leverage statistical models and machine learning tools to scientifically quantify macro changes from marketing, merchandising, and pricing, to answer key growth challenges related to promotional planning, user segmentation, and network planning.
• Develop data driven, insightful end-to-end software solutions using machine learning and optimization methods to answer questions, with a focus on root-causing.
• Enable Chewy management to make informed, data-driven decisions by providing business analyses and building advanced data science models.
• Identify opportunities and potential business problems to create solutions that allow repeatable analysis, provide actionable recommendations, and potential product of the solution.
• Document technical details of your work.
• Telecommuting permitted.

What You'll Need:

• Master's degree in Data Science, Artificial Intelligence, Engineering, Operations Research, Statistics, Mathematics, or related field and 2 years of experience.
• Experience must include 2 years in: Python and environments such as Jupyter/PyCharm/Anaconda;
• Python packages: numpy, pandas, matplotlib, seaborn, scipy, scikit-learn;
• data visualization tools and packages;
• advanced statistical concepts and methods;
• understand and apply advanced mathematics;
• time series analysis;
• end-to-end data science pipeline and workflow;
• demonstrated analytical and problem-solving skills;
• translate complex data sets and research into simple business recommendations;
• compile information into unified reports; and
• version control and collaborative programming tools (Git, Confluence, etc.).
• Experience must also include: building production-quality data science models including Classification, Clustering, Regression, and time series techniques and advanced Machine Learning models;
• database technologies and SQL mastery.
• Telecommuting permitted.
• The position is eligible for the Employee Referral Program.