Senior Data Scientist - Inventory Placement


Posted Date
Job ID
Job Function
REI City
REI State
REI Location
Seattle HQ
Remote Eligible
Please visit the Covid-19 Hiring Updates before applying
What's cool about this job

REI is committed to becoming a fully inclusive, antiracist, multicultural organization. To fulfill our brand promise of enabling a life well-lived outside for everyone, we are seeking candidates who demonstrate shared values of diversity, equity, inclusion, and antiracism. 

REI’s Enterprise Data Science team is seeking a Senior Operations Researcher with deep experience using Data Science and Optimization approaches to solve complicated optimization problems across the organization such as Demand Forecasting, Transportation/Last-Mile, Network Design, Simulation and Revenue Management to name just a few. This role will analyze REI’s multi-channel supply chain end-to-end, identifying the biggest opportunities developing plans for system-wide optimization of cost, throughput, and customer experience to the benefit of our members and society.  This is a unique opportunity to have a major impact on REI’s bottom line and continued success helping people get outside while improving our environmental and social mission!

The ideal candidate is a creative and passionate problem-solver who thinks big, understands the details, acts quickly, and is motivated to develop new approaches to optimizing REI’s business using operations research, machine learning methods, and cutting-edge technology, tools, and platforms. We are looking for someone with strong experience solving difficult supply chain and fulfillment optimization problems in large scale retail or manufacturing environments. You should have a track record of delivering real improvements in previous roles, and a solid understanding of the downstream consequences that upstream process changes can have.

  • Provide strategic thought leadership for the subject of supply chain optimization. Significant influence into strategy and cross-team impacts
  • Engage broadly with the business and operational leaders to frame, structure, and prioritize optimization across our multi-channel retail supply chain
  • Perform large-scale statistical research, analysis, Data Science, and modeling inventory placement and optimization across REI’s network. 
  • Design and deliver optimization algorithms and science-driven data products, working with colleagues to develop and deploy software as is feasible and solves critical business problems
  • Contribute to the design and development of automated ML systems
  • Work within a close-knit team of Supply Chain Data Scientists and analysts providing mentorship, subject area expertise, learning and inspiration to the group
  • Build sophisticated simulations that will enable business leaders to make trade-off decisions given the constraints
Bring your passion and expertise
  • MS or PhD. in Operations Research, Industrial Engineering, Mathematics, Statistics, Economics
  • 5+ years’ experience implementing large scale end-to-end supply chain optimization programs
  • Experience working with raw and prepared data sources in a variety of RDBMS systems (oracle, TeraData, Redshift etc) and NoSQL environments such as Hadoop, Spark, Athena
  • Fluency with simulations, statistical and machine learning algorithms such as decision trees, neural networks, collaborative filtering, clustering, survival analysis, graph theory, etc.
  • Knowledge of and experience working within cloud computing environments such as AWS, Azure, GCP
  • Excellent written and verbal communication skills
  • Ability to successfully communicate ideas and sell strategic plans to senior executives while influencing adoption and successful implementation

Resources Available to You
  • You will have access to scalable cloud computing and data management tools
  • You will be working with a team of talented and creative OR Scientists, ML/AI Data Scientists and Advanced Analysts, Test Optimization Analysts and Data Engineers
  • Dedicated resources on our Data Services team to acquire, plumb and optimize data sources both existing and new
  • The support of senior leadership for implementing major supply chain optimizations
  • Immediate group managers who are focused on supporting your success

REI hires, trains, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.  We remain deeply committed to making the Co-op a place where everyone can feel safe and be themselves. Join us. 


As required by applicable Pay Transparency laws, REI provides a range of minimum compensation for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including: your specific skills and experience, geographic location or other relevant factors. The salary range for this position may be lower or higher in different markets.

The pay for this role is: $95,000 to $200,000 per year  
At REI we offer an enviable work environment that Fortune Magazine has recognized on the "100 Best Places to Work" list since the award's inception – 23 years in a row! Sure, we work hard, but it’s balanced with time off to play—a strategy that works for us as we continue to grow and thrive. Want to enjoy a workplace where you can be yourself, be heard and be respected while having a job that challenges you? This is the place.

With more than 160 retail locations (and growing), REI offers unique competitive benefits to its more than 15,000 employees, including healthcare, gear and apparel discounts, free equipment rentals and challenge grants to help employees reach personal outdoor goals, generous retirement plan contributions, public transit subsidy, adoptions assistance, paid sabbaticals, and more.

REI is an Equal Opportunity Employer

Posting Range
$95,000 to $200,000 per year
ARTICLE 23-A, Section 753

§753. Factors to be considered concerning a previous criminal conviction; presumption.

1. In making a determination pursuant to section seven hundred fifty-two of this chapter, the public agency or private employer shall consider the following factors:

(a) The public policy of this state, as expressed in this act, to encourage the licensure and employment of persons previously convicted of one or more criminal offenses.

(b) The specific duties and responsibilities necessarily related to the license or employment sought or held by the person.

(c) The bearing, if any, the criminal offense or offenses for which the person was previously convicted will have on his fitness or ability to perform one or more such duties or responsibilities.

(d) The time which has elapsed since the occurrence of the criminal offense or offenses.

(e) The age of the person at the time of occurrence of the criminal offense or offenses.

(f) The seriousness of the offense or offenses.

(g) Any information produced by the person, or produced on his behalf, in regard to his rehabilitation and good conduct.

(h) The legitimate interest of the public agency or private employer in protecting property, and the safety and welfare of specific individuals or the general public.

2. In making a determination pursuant to section seven hundred fifty-two of this chapter, the public agency or private employer shall also give consideration to a certificate of relief from disabilities or a certificate of good conduct issued to the applicant, which certificate shall create a presumption of rehabilitation in regard to the offense or offenses specified therein.