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About the RoleThis 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 is 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
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Create a comprehensive Causal ML framework to measure impact.
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Develop approaches to measure cross-price elasticity, SKU demand transference, cannibalization, and other causal treatment outcomes.
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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.
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Guide audience targeting strategy across CRM, digital, App through customer lifecycle propensity modeling to acquire and retain.
Leadership and Strategy
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Influence design and execution of multivariate experiments, KPI rationalization, establish measurement protocols with and without controlled setup, arbitrate over statistical and business significance.
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Communicate complex analytic findings and insights effectively to stakeholders at all levels.
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Partner closely with product management, Gap Brand ecommerce and marketing leads to understand business hypotheses, requirements, and opportunities to influence decisions, roadmaps.
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Partner with Data Engineering, Data Governance, Platform and Transformation teams to ensure data consistency, accessibility and scalability and useability for analytic intent.
Team and Culture
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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.
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Use audience appropriate visualizations to drive strategic adoption, tell a story, diagnose performance and identify opportunities.
Who You Are
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MS/PhD in mathematics, statistics, data science, econometrics, operations research or similar.
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Expert level experience as a data scientist in predictive solution development and revenue impact measurement.
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Established experience working with customer level behavioral data, preferably with a multi-channel retailer.
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Advanced proficiency using SQL for efficient manipulation of large datasets, Azure Databricks.
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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.
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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.
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Critical thinking, agile mindset, strong written and verbal communication skills exercised across all levels of business hierarchy, with a demonstrated appetite for relationship building.
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Passion for retail, fashion, and consumer behavior, with a deep understanding of the digital commerce ecosystem, and industry trends
Top Skills
What We Do
In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands.
Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco.
Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next.
Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead.
We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.
