Associate Data Scientist Inventory Management-2

Key Skills

Python Programming, SQL, Azure, Data Visualization, TensorFlow, Apache Hive, R Programming, SPARK Programming, CNNs, Statistical modeling, Gradient Boosting trees, Monte Carlo Simulation, Mathematical modeling, Data extraction, Data Analysis, Heuristic optimization

Job Description

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

The Inventory Data Science Team at Gap Inc. applies advanced machine learning techniques to drive business benefits for Gap Inc. and its brands. The team’s focus is on creating data science capabilities to support Inventory Management function at Gap Inc. The team’s focus is in creating machine learning capabilities that match supply and demand in order to support inventory management at Gap Inc. Areas of knowledge include: demand forecasting, inventory replenishment, pricing, assortment, inventory and supply chain optimization, product testing, monte carlo simulation and sizing. You will support the team to build and deploy machine learning capabilities at scale, in partnership with GapTech, PDM, Central Marketing & business partners across our brands.

What You'll Do

• Build, validate, and maintain Machine Learning and/or Operations Research models that support the buying, pricing or movement of inventory, assortment and build models that can detect supply chain defects and explain variance to the optimal state
• Research new ways to improve predictive & explanatory models, will design quantitative systems, forecasting models, inventory models and solve real world problems using the latest machine learning techniques
• Work with large quantities of data in scripting languages, compile and analyze data from different sources to check completeness and filtering criteria as needed for data science initiatives
• Synthesize findings, prepare presentations and assist in presenting findings to all levels of management
• Provide framework/methodology for measurement and feedback mechanism for models
• Collaborate within the team and outside the team to solve complex problems
• Continuously research and work to integrate emerging methodology, technology, coding and version control practices that best fits the team and practice, create effective documentation.

Who You Are

• Master’s degree or Ph.D in a quantitative discipline such as Statistics, Mathematics, Operations research, Industrial Engineering or Data Science,
• 1+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication in the inventory management space
• 1+ years of experience in solving inventory management problems using optimization and/or AI/ML such as inventory optimization, time-series modeling, stochastic (inventory) modeling, Monte Carlo simulation, heuristic optimization and mathematical programming
• Advanced proficiency in 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

This role is based out of the San Francisco office. Currently, job duties are being performed remotely. However, the Company may in the future require you/this role to be in the office on a full-time or part-time basis. Pursuant to Gap Inc.’s policy, all employees who wish to enter Gap Inc.’s San Francisco Bay Area, New York, and Albuquerque office buildings will need to be vaccinated, unless an exemption from the vaccine requirement is approved due to an accommodation for a disability or for a sincerely held religious belief.

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. This year, we’ve been named as one of the Best Places to Work by the Human Rights Campaign for the seventeenth consecutive year and have been included in the 2021 Bloomberg Gender-Equality Index for the fourth year in a row.