Position Purpose:
As a Data Scientist in the newly created Enterprise Analytics and Data Science team at Petco, you'll work on projects to build Petco's Omnichannel experience by working on machine learning models in the areas of customer, pricing, inventory, space and assortment. These ML models will help discover insights that drive customer, operational and product strategy for Stores, eCommerce and Services. A majority of your time will be spent working on the following:
Data generation: Use customer, operational and interaction data to build datasets that can be consumed by various models and reports in the company. Analytical modeling: Data modeling, exploratory data analysis, and feature selection using advanced statistical methods and techniques. Model Validation: Calibrating models to provide interpretable and repeatable outputs by using various metrics like ROC, RMSE, quantile loss, etc. Deployment: Model output will be consumed by various teams to create a customer experience that is the best in the industry. Documentation: Clear documentation of the objective, statistical model, and results.
Essential Job Functions: The incumbent must be able to perform all of the following duties and responsibilities with or without a reasonable accommodation.
Build, maintain, optimize, and productionize machine learning frameworks to quantify the impact our actions on Petco's omni-channel business. Create new data pipelines using the latest technologies that seamlessly integrate with multiple databases at Petco. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. Identify scalable opportunities by analyzing historical data and collaborate with business stakeholders to assess their impact. Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytic capabilities, platforms, and pipelines. Apply statistical or machine learning knowledge to identify and solve specific business problems and data. Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. Utilize code (Python/R/SQL) for data analyzing and modeling algorithms. Conducts tracking and measurement of KPIs related to multiple business areas. Mentor data scientists and associate data scientists on technique and process
Other Duties and Responsibilities- Interact professionally and effectively through verbal and written communication with all professional contacts with emphasis on company interests.
- Independently prioritize and accomplish multiple tasks within established timeframes.
- Perform other related duties, tasks and responsibilities as required, assigned and directed.
Education and Experience- MS/PhD in Statistics, Math, Engineering, Economics or related field
- Previous experience working with Machine Learning/Deep Learning for real world problems is a must
- Must be self-driven and passionate about retail and must be customer centric.
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
- 2+ years' experience in business analytics and data science
- Proficient with SQL
- Proficiency with multiple analytics tools required; Python or R strongly preferred
- Hands on experience with BI tools; Tableau /R shiny/Looker
- Ability to explain/present complicated/advanced analytical methodology and results to non-technical audiences
- Excellent communication skills
- Excellent quantitative modeling, statistical analysis skills and problem-solving skills.
- Related experience in a retail organization is a strong plus
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