Senior Manager (Data Science) - Remote - Dallas

Key Skills

Aartificial intelligence, Apache Hive, AWS, Azure, Data Analytics, Data science techniques, Data Visualization, Deep Learning, Large data sets, Logistic Regression, Machine learning techniques, Python Programming, R Programming, SPARK Programming, SQL, TensorFlow

Job Description

About The Role

The Customer Analytics Team at Gap Inc. applies data analysis and machine learning techniques to drive business benefits for Gap Inc. and its brands. The team’s focus is on creating analytical capabilities to support customer acquisition and retention, personalization and marketing at Gap Inc. Areas of expertise include segmentation, targeting, forecasting, marketing effectiveness measurement and optimizations, customer behaviors, site analytics and business growth initiatives. You will support the team to build and deploy Data and Analytics capabilities, in partnership with GapTech, PDM, Central Marketing & business partners across our brands.

This is a remote role is based out Dallas, TX. However, the Company may require you in the future to work in an on-site location designated by Gap Inc. on a full-time or part-time basis.

What You'll Do

• Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources
• Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols
• Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis
• Communicate meaningful, actionable insights from large data and metadata sources to stakeholders
• Build cross functional partnerships and consensus
• Influence strategy for area/team

Who You Are

• Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments
• Experience with ML and classical predictive techniques such as logistic regression, decision trees, non linear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods
• Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
• Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building
• Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions

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 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: $135,600 - $194,100 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.