Senior Data Scientist - Customer Data (San Francisco) - Gap Inc.
San Francisco, CA
About the Job
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 idea—that we all deserve to belong, and on our own terms—is 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
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 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
+ 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, App through customer lifecycle propensity modeling to acquire and retain.
Leadership and Strategy
+ Influence design and execution of multivariate experiments, KPI rationalization, 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, roadmaps.
+ 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
+ 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
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 employee’s base pay.*
+ Employee stock purchase plan.*
+ Medical, dental, vision and life insurance.*
+ See more (https://corporate.gapinc.com/en-us/careers/gap-inc-careers/gap-inc-benefits) 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: $170,200 - $225,600 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 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.
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 idea—that we all deserve to belong, and on our own terms—is 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
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 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
+ 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, App through customer lifecycle propensity modeling to acquire and retain.
Leadership and Strategy
+ Influence design and execution of multivariate experiments, KPI rationalization, 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, roadmaps.
+ 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
+ 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
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 employee’s base pay.*
+ Employee stock purchase plan.*
+ Medical, dental, vision and life insurance.*
+ See more (https://corporate.gapinc.com/en-us/careers/gap-inc-careers/gap-inc-benefits) 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: $170,200 - $225,600 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 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.
Source : Gap Inc.
