About the Role
This role sits in our beautiful San Francisco hub office.
As a Senior Data Scientist for the Customer Data Science team at Gap Inc, you will be part of a highly visible team bringing direct impact to senior leaders across our four iconic brands: Old Navy, Gap, Banana Republic, and Athleta. You will play a pivotal role in leveraging advanced analytics and machine learning to drive growth, optimize customer experience, and enhance operational excellence across Gap Inc brands. This team is chartered with spearheading data-driven initiatives that address the most important and timely opportunities to the Business, empowering leadership to make informed decisions in areas having the highest impact on financial performance and long-term customer equity.
Reporting to the Customer Data Science Director, you will focus on delivering a portfolio of predictive models and inferential decision assets while driving a customer-first mindset across business units. You will leverage your expertise in Causal Inference and Econometrics to socialize robust practices in causal impact assessment, KPI forecasting, and elasticities across a large and like-minded data scientist peer group as well as brand-embedded business analysts. As a senior member of the team, your efforts will further mature internal data products designed to measure value across channels and customer dimensions, optimize promotional cadence, and shape marketing decisions across a full suite of paid, owned, and earned marketing.
What You'll Do
Modeled Insights and Inference
- Create a comprehensive Causal ML framework to measure impact.
- Develop approaches to measure cross-price elasticity, SKU demand transference, cannibalization, and other causal treatment outcomes.
- Apply modern machine learning algorithms, including deep learning, ensemble methods, and LLMs, to analyze large-scale datasets containing customer interactions with product and platform attributes.
- Guide audience targeting strategy across CRM, digital, and App through customer lifecycle propensity modeling to acquire and retain customers.
Leadership and Strategy
- Influence design and execution of multivariate experiments, KPI rationalization, and establish measurement protocols with and without controlled setup, arbitrate over statistical and business significance.
- Communicate complex analytic findings and insights effectively to stakeholders at all levels.
- Partner closely with product management, Gap Brand ecommerce, and marketing leads to understand business hypotheses, requirements, and opportunities to influence decisions and roadmaps.
- Partner with Data Engineering, Data Governance, Platform, and Transformation teams to ensure data consistency, accessibility, scalability, and usability for analytic intent.
Team and Culture
- Stay abreast of emerging trends, best practices, and tools for acquiring external intelligence, leading the exploration and implementation of new analytics data sources or techniques.
- Use audience-appropriate visualizations to drive strategic adoption, tell a story, diagnose performance, and identify opportunities.
Who You Are
- MS/PhD in mathematics, statistics, data science, econometrics, operations research, or similar.
- Expert level experience as a data scientist in predictive solution development and revenue impact measurement.
- Established experience working with customer-level behavioral data, preferably with a multi-channel retailer.
- Advanced proficiency using SQL for efficient manipulation of large datasets, Azure Databricks.
- Demonstrated ability to research, evaluate, and apply appropriate methodologies over a broad array of business interests, overseeing causal inference; Causal Impact, synthetic control, diff-of-diff.
- Python experience directed towards statistical modeling, machine learning algorithms (regression and boosting trees, SVM and similarity methods, time series) and a track record for creating business impact with these methods, preferably in service of acquisition and retention goals.
- Critical thinking, agile mindset, strong written and verbal communication skills exercised across all levels of business hierarchy, with a demonstrated appetite for relationship building.
- Passion for retail, fashion, and consumer behavior, with a deep understanding of the digital commerce ecosystem and industry trends.
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