Senior Data Scientist

3 days ago

San Francisco, California, United States Gap Inc. Full time

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.

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.

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: 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.

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, App through customer lifecycle propensity modeling to acquire and retain.

Partner closely with product management, Gap Brand ecommerce and marketing leads to understand business hypotheses, requirements, and opportunities to influence decisions, roadmaps.

Partner with Data Engineering, Data Governance, Platform and Transformation teams to ensure data consistency, accessibility and scalability and useability for analytic intent.

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.

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; 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

Merchandise discount for our brands:

Employee stock purchase plan.

Medical, dental, vision and life insurance.

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.

In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

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 Inc's 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.

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