Job Description
About the Role
In this position you will support the advancement of data-driven decision-making and operational optimization across Gap Inc.’s Distribution Center and Contact Center network. Reporting to the Director, Logistics Analytics and Optimization, this role translates complex operational data into actionable insights, analytical solutions, and optimization opportunities that improve network performance, efficiency, and responsivenessThis role partners closely with Distribution Center and Contact Center Operations, Engineering, Technology, and other cross-functional teams to develop and implement analytical capabilities that support operational decisions, identify opportunities for improvement, and enable smarter, more efficient operations for our customers and brands.
What You'll Do
- Develop and implement analytical models, algorithms, tools, and automated processes that improve operational performance and decision-making across DC/CC network
- Analyze operational and supply chain data to identify trends, root causes, and opportunities to improve productivity, capacity, service, and cost
- Translate complex data into clear, actionable insights and recommendations for Operations and functional leaders.
- Partner with Operations, Engineering, Technology, and other cross-functional teams to develop and implement scalable analytical and optimization solutions.
- Leverage AI, machine learning, automation, forecasting, and advanced analytics to simplify work and optimize network performance.
- Measure the effectiveness and business impact of analytical solutions and recommend enhancements to drive continuous improvement.
- Deploy machine learning algorithms in production environment.
Who You Are
- Degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
- 9+ years experience in advanced analytics, data science, operations research, supply chain analytics, or a related field.
- Experience in deploying, scaling, and monitoring machine learning models.
- Experience applying AI and machine learning capabilities to identify opportunities, improve decision-making, automate processes, and optimize operational performance.
- 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.
Numbers & Facts
| Location | Ohio |
| Industry | All |
| Company Size | 10,000 employees or more |
| Website | http://www.gap.com |
About Company
Doris and Don Fisher opened the first Gap store in 1969 with a simple idea -- to make it easier to find a pair of jeans and a commitment to do more. Over the last 46 years, the company has grown from a single store to a global fashion business with five brands -- Gap, Banana Republic, Old Navy, Athleta and Intermix. Gap's clothes are available in 90 countries worldwide through 3,300 company-operated stores, almost 400 franchise stores, and e-commerce sites and is still growing.
Many companies work to improve their services and businesses every day by using GAP Testers who anonymously go into various places and report back to the companies on everything from cleanliness, customer service to quality control. Being a tester is a very flexible, fun job with lots of benefits.
Skills
Level up your application
Professional resume templates
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.
Free resume templatesFree resume builder
Improve your existing resume or start from scratch and create a standout, ATS-friendly resume. Add job-specific content, download and apply.
Free resume builder