About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple ideathat we all deserve to belong, and on our own termsis core to who we are as a company and how we make decisions. Our team is 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 to learn fast, create with audacity and lead boldly? Join our team. 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. 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 Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World’s Best Employers and one of the Best Employers for Diversity. Salary Range: $166,300 – $246,000 USD Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements. US Candidates Please note that effective, June 30, 2022, Gap Inc. will no longer require any of its employees to wear face masks or require proof of COVID vaccination, unless required by local or state/provincial mandates or as part of Gap Incs quarantine guidelines after being exposed to or testing positive for COVID. Therefore, please disregard any language in any job posting that refers to Gap Inc.s face mask and proof of vaccination policy as said policy is no longer effective. #J-18808-Ljbffr
stakeholder-management Cross-functional teams E-commerce Innovativeness Natural language processing (NLP) Data Science Python CRM Continuous improvement R Marketing optimization deep-learning Retail Information technology (IT) SQL Machine Learning Analytics Leadership A/B testing Product management web-analytics