Principal Data Scientist

2 months ago


San Francisco, United States Gap Inc. Full time

Principal Data Scientist - Recommendation System

Qualifications
  • Proven experience (at a senior level) in developing and implementing recommendation algorithms in a retail or e-commerce environment
  • Strong proficiency in programming languages such as Python or R
  • Solid understanding of machine learning techniques, deep learning, and natural language processing
  • Excellent leadership and communication skills with the ability to articulate complex technical concepts to non-technical stakeholders
Responsibilities
  • The successful candidate will be responsible for leading and driving the development, implementation, and optimization of our recommendation algorithms
  • You will work closely with cross-functional teams to enhance our customer experience and drive business growth through personalized recommendations
  • Create real-time recommendation services to integrate with the rest of the tech stack
  • Collaborate with cross-functional teams to align recommendation system strategies with overall business objectives
  • Lead the design, development, and implementation of advanced recommendation algorithms
  • Stay current with industry trends and emerging technologies in recommendation systems
  • Analyze large datasets to extract meaningful insights that can be used to improve recommendation accuracy
  • Develop and implement machine learning models to enhance recommendation performance
  • Collaborate with data engineers, software developers, and product managers to integrate recommendation algorithms into our systems
  • Work closely with stakeholders to gather requirements and ensure alignment with business goals
  • Design and conduct A/B testing to evaluate the effectiveness of different recommendation algorithms
  • Continuously optimize and refine recommendation models based on user feedback and performance metrics
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