About Gap Inc.Our brands bridge the gaps we see in the world.Old Navy democratizes style to ensure everyonehas access to quality fashion at every price point. Athleta unleashes the potential of every woman,regardless of body size, age or ethnicity. BananaRepublic believes in sustainable luxury for all. And Gapinspires the world to bring individuality to modern, responsibly madeessentials.This simple ideathat we all deserve to belong,and on our own termsis core to who we are as acompany and how we make decisions.Our teamis made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet.Ready tolearn fast, create with audacityand lead boldly? Join our team.About the RoleAs 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 DoAdvanced 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 impactAnalyze and model customer behavior and uncover hidden patterns using science methodologiesLeadership 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 AreStrong 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.Benefits at Gap Inc.Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.One of the most competitive Paid Time Off plans in the industry.*Employees can take up to five on the clock hours each month to volunteer at a charity of their choice.*Extensive 401(k) plan with company matching for contributions up to four percent of an employees base pay.*Employee stock purchase plan.*Medical, dental, vision and life insurance.*See more of the benefits we offer.*For eligible employees
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stakeholder-management E-commerce Innovativeness Natural language processing (NLP) Data Science Python CRM Data Engineering R Marketing optimization programming-languages deep-learning Retail Information technology (IT) SQL Machine Learning Analytics Leadership A/B testing Product management web-analytics