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 will design systems and forecasting methodologies that will be of significant value to REI’s Supply Chain and Operations Planning. 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.
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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.
§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.