Principal Data Scientist

Found in: Jooble US O C2 - 3 weeks ago

San Francisco CA, United States Gap, Inc. Full time
About the Role
As the Principal Data Scientist for Digital Commerce at Gap Inc., you will play a pivotal role in leveraging advanced analytics and machine learning techniques to drive growth, optimize customer experiences, and enhance digital commerce performance across various Gap Inc. brands. You will lead a team of talented data scientists, collaborate closely with cross-functional stakeholders, and spearhead data-driven initiatives to unlock business insights, improve decision-making processes, and innovate within the digital commerce landscape. What You'll Do

Advanced Analytics and Modeling:
  • Apply cutting-edge machine learning algorithms, including but not limited to deep learning, ensemble methods, and natural language processing, to analyze large-scale datasets related to customer behavior, product attributes, and digital commerce performance.
  • Utilize advanced analytics, machine learning, and statistical modeling techniques to analyze large volumes of structured and unstructured data related to customer behavior, product trends, and digital commerce performance.
  • Create a comprehensive Causal ML framework to measure impact
  • Analyze and model customer behavior and uncover hidden patterns using science methodologies

Leadership and Strategy:
  • Provide strategic direction and thought leadership in the application of data science techniques to drive digital commerce growth and enhance customer experiences.
  • Collaborate with senior leadership to define and prioritize data science initiatives aligned with business objectives and digital commerce strategies.
  • Mentor and lead a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.

Experimentation and Optimization:
  • Design and execute A/B tests and multivariate experiments to evaluate the impact of data-driven initiatives, inform product development decisions, and drive continuous optimization of digital commerce experiences.
  • Develop experimentation frameworks, statistical methodologies, and tooling to facilitate rigorous hypothesis testing and interpretation of experimental results.

Cross-Functional Collaboration:
  • Partner closely with product management, marketing, e-commerce, and technology teams to understand business requirements, identify opportunities for data-driven optimizations, and influence product roadmap decisions.
  • Communicate complex analytical findings and insights effectively to stakeholders at all levels, fostering data-driven decision-making across the organization.
  • Collaborate with data engineering and IT teams to ensure data accessibility, integrity, and scalability for analytics and modeling purposes.

Innovation and Continuous Improvement:
  • Stay abreast of emerging trends, technologies, and best practices in data science, digital commerce, and retail industries.
  • Identify opportunities for innovation and experimentation, leading the exploration and implementation of new analytical techniques, tools, and methodologies.
  • Drive process improvements and establish best practices for data science workflows, model deployment, and performance monitoring.

Who You Are
  • Strong experience in data science, machine learning, or analytics roles, preferably within the retail or e-commerce industry.
  • Proven track record of leading data science initiatives, driving business impact, and delivering actionable insights in a fast-paced environment.
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques, with proficiency in programming languages such as Python, R, or SQL.
  • Strong communication and stakeholder management skills, with the ability to distill complex technical concepts into clear and actionable insights for non-technical audiences.
  • Experience leading and mentoring cross-functional teams of data scientists, analysts, or engineers.
  • Familiarity with digital commerce platforms, customer relationship management (CRM) systems, and web analytics tools is a plus.
  • Passion for retail, fashion, and consumer behavior, with a deep understanding of the digital commerce ecosystem and industry trends.
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