Machine Learning Data Scientist

Job Description

Our vision at Petco is Healthier Pets. Happier People. Better World. We’re making things better for pets, people and the planet through our Think Adoption First philosophy, the Petco Foundation and other important initiatives that focus on putting animals first, educating pet parents and reducing our carbon footprint. The journey starts with knowledgeable, passionately engaged associates who are proud to recommend Petco as a place to work, who believe in our Vision and who are committed to delivering a superior customer experience.

From our retail stores and our network of Distribution Centers to our Corporate offices, you'll work with others who share your values and commitment. We seek individuals who are passionate about animal welfare, have great people skills and are driven to grow and advance in their careers with us. Our ongoing growth is creating exceptional opportunities for professional development and personal enrichment throughout our organization.

Position Purpose

The Machine Learning Data Scientist - Supply Chain position will be in our Petco San Antonio, TX office and will be responsible for leveraging strategic insights, advanced analytics, forecasting, optimization and statistical methods to design optimized supply chain, providing insights into improving supply chain management performance, and improve end-to-end supply chain visibility in order to maximize financial performance and deliver an exceptional customer experience.

Within the team, you combine advanced analytical skills and big data techniques with strong business acumen to build predictive models aimed at providing actionable solutions to some of the most pressing and high-value business problems we face. You will actively engage and influence the business with your models and algorithms as well as consult on implementation of new strategies.

Essential Job Functions The incumbent must be able to perform all of the following duties and responsibilities with or without a reasonable accommodation.

• Develop and implement behavioral and predictive models that drive customer value and achieve strategic business objectives in supply chain (machine learning, linear & logistic regression, clustering and statistical sampling, A/B testing and text mining).
  
• Apply qualitative and quantitative methods of forecasting to a wide range of datasets to drive pull-processes and budget planning for the supply chain
  
• Use numerical methods of optimization (linear and integer programming) to build and modify mathematical models to design a holistic, strategic and quantitative view of the end-to-end supply chain.
  
• Collaborate with internal data science teams by providing direction on how to best utilize more advanced techniques and machine learning to achieve strategic objectives and business goals within the organization
  
• Create compelling data visualizations and develop new performance metrics to quantify the value of corporate initiatives and highlight trends in consumer behavior and key volume indicators in supply chain.
  
• Present findings to executive leadership by effectively translating complex data and methodologies into clear insights, opportunities, and tangible business actions.
  
• Display deep intellectual curiosity, creativity, and commitment to learning in order to solve critical business problems and push the boundary of our capabilities.
  
• Influence the overall supply chain strategy and usher new tools to the internal team’s toolkit

Supervisory Responsibility: No direct reports. Incumbent will collaborate and lead cross-functional business projects.

Work Environment: The majority of job duties are conducted while seated indoors at a computer terminal with little or no exposure to hazards. Occasional travel may be required for presentations, training, and convention.