Gap Inc.
Principal Data Scientist
Gap Inc., San Francisco, California, United States, 94199
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
As the Principal Data Scientist for Consumer Data Science at Gap Inc, you will play a pivotal role in designing and implementing sophisticated data science solutions in the consumer space. You will collaborate with cross-functional teams and drive the development of advanced analytical models to enhance our understanding of consumer behavior.What You'll Do
Advanced Analytics:Design, develop, and implement advanced analytical models to analyze large-scale consumer data sets.Apply statistical techniques, machine learning, and data mining to extract meaningful insights and patterns.Consumer Behavior Analysis:Lead efforts to understand and model consumer behavior, preferences, and trends.Utilize predictive modeling to forecast consumer behavior and optimize business strategies.Customer and Marketing Science Models:Develop marketing science models such as attribution, content scoring, etc.Optimize ROAS using advanced statistical models.Develop customer models such as Lifetime Value, Propensity, Engagement, etc.Model Deployment:Work closely with engineering teams to deploy machine learning models into production environments.Monitor and maintain the performance of deployed models, implementing improvements as needed.Experimentation and Causal Inference:Strong causal inference experience. Ability to implement causal inference models at scale.Provide actionable insights and recommendations based on experimentation results.Cross-Functional Collaboration:Collaborate with product managers, UX designers, and business stakeholders to align data science initiatives with business goals.Communicate technical concepts and insights effectively to non-technical audiences.Who You Are
Proven experience in consumer-focused data science roles with a strong technical emphasis.Expertise in Economics, statistical modeling, and predictive analytics.Proficiency in programming languages such as Python or R.Strong knowledge of data processing frameworks and tools (e.g., Spark, Hadoop).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.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:
$196,800 - $260,800 USDEmployee 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.
#J-18808-Ljbffr
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
As the Principal Data Scientist for Consumer Data Science at Gap Inc, you will play a pivotal role in designing and implementing sophisticated data science solutions in the consumer space. You will collaborate with cross-functional teams and drive the development of advanced analytical models to enhance our understanding of consumer behavior.What You'll Do
Advanced Analytics:Design, develop, and implement advanced analytical models to analyze large-scale consumer data sets.Apply statistical techniques, machine learning, and data mining to extract meaningful insights and patterns.Consumer Behavior Analysis:Lead efforts to understand and model consumer behavior, preferences, and trends.Utilize predictive modeling to forecast consumer behavior and optimize business strategies.Customer and Marketing Science Models:Develop marketing science models such as attribution, content scoring, etc.Optimize ROAS using advanced statistical models.Develop customer models such as Lifetime Value, Propensity, Engagement, etc.Model Deployment:Work closely with engineering teams to deploy machine learning models into production environments.Monitor and maintain the performance of deployed models, implementing improvements as needed.Experimentation and Causal Inference:Strong causal inference experience. Ability to implement causal inference models at scale.Provide actionable insights and recommendations based on experimentation results.Cross-Functional Collaboration:Collaborate with product managers, UX designers, and business stakeholders to align data science initiatives with business goals.Communicate technical concepts and insights effectively to non-technical audiences.Who You Are
Proven experience in consumer-focused data science roles with a strong technical emphasis.Expertise in Economics, statistical modeling, and predictive analytics.Proficiency in programming languages such as Python or R.Strong knowledge of data processing frameworks and tools (e.g., Spark, Hadoop).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.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:
$196,800 - $260,800 USDEmployee 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.
#J-18808-Ljbffr