Patagonia is looking to leverage AI to power its purpose of saving the home planet by building a technology organization that blends industry and technical skills with the passion for solving unsolved problems.
Requirements
10+ years of analytical modeling experience with a Bachelor’s degree or equivalent work experience in: Computer Science, Economics, Statistics, Mathematics, Operations Research, Information Systems, Analytics, or other relevant expertise
Proven experience in advanced analytics, data science and/or AI leadership roles, ideally within consumer goods, retail, or sustainability-focused organizations
Experience with multiple applied retail advanced analytics problems such as Forecasting, NLP, Image Recognition, Clustering and Segmentation, Optimization & Attribution
Familiarity with retail domains such as customer segmentation, demand forecasting, pricing & promotion optimization, inventory optimization, marketing modeling & attribution & product attribution
Familiarity with GenAI concepts, models and platforms
Proficiency in programming languages such as Python, R, or Julia
Experience with ML frameworks such as PyTorch and/or Tensorflow
Responsibilities
Create and drive a multi-year AI strategy that builds capabilities & skillsets, deliver valuable outcomes through projects & programs, and advances our overall company strategies through AI
Build a matrixed AI organization that will use machine learning, GenAI and advanced qualitative & statistical methods to power key decisions
Enhance our data-powered culture, advancing awareness & support for AI capabilities to power our most important opportunities
Drive the technical platform requirements & features needed to support these efforts.
Deliver products & insights that directly power key decisions using statistical models, data mining, and machine learning algorithms
Drive requirements & needs for the AI Platform, balancing value & cost within our entire data & analytics ecosystem
Collaborate on the development & management of said platform with engineering and architecture partners
Other
Develop and nurture a high-performing AI team
Guide & develop analysts across the company on advanced analytical opportunities and methods
Set hiring standards, mentor team members, and foster a collaborative culture
Build partnerships with consulting partners to help augment your internal team
Create and oversee the adoption of the AI vision across departments.
