Principal Data Scientist - Product

Posted Date: Sep-16-2021

Job ID: 21587

Job Type: Full Time

Job Function: Marketing

City: Seattle

State: Washington

Store: Seattle HQ

Remote Eligible: No



Please visit the Covid-19 Hiring Updates before applying


What's cool about this job

At REI Co-op, we believe that a life outdoors is a life well lived. As an employee of REI, you will have the opportunity to shape what it means to be a Co-op Member. REI is more than an outdoor retailer – our members engage with us in experiences, content and community, advocacy and more.


As a Principal Data Scientist – Product, you will analyze REI’s multi-channel business funnels end-to-end and identify the biggest opportunities for our customer’s experience, brand and social impact. This role has a major impact on REI’s bottom line as well as significant contributions to our exciting Membership, Social Impact and Environmental priorities!


The Principal Data Scientist - Product 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 statistical methods, machine learning algos, and cutting-edge technology. The role requires strong experience solving difficult and ambiguous problems while exploring large scale, interrelated and interdependent opportunities. When in this role, you will deliver real improvements and will have a solid understanding of the downstream consequences that upstream process changes can have.

Bring your passion and expertise

In this role, you will:


  • Own strategic thought leadership for the subject of enterprise-wide objectives working with leaders from Strategy, Business Units, Technology and other critical support teams.
  • Engage broadly with the business and operational leaders to frame, structure, and prioritize measurement strategies and methods across our multi-channel retail ecosystem.
  • Perform large-scale statistical research, analysis, machine learning, testing, and modeling across multiple areas of the REI enterprise -- from Customer Insights and Behavior through Last Mile Optimization.
  • Design optimization algorithms and data products, working with colleagues to develop and deploy software as required.
  • Work within a close-knit team of Researchers, Data Scientists and analysts providing mentorship, subject area expertise, learning and inspiration to the group.

Qualifications:


  • Master’s degree in Statistics, Mathematics, Economics or equivalent Engineering degrees
  • 8+ years’ experience implementing large scale end-to-end data science products
  • Experience working with raw and prepared data sources in a variety of RDBMS systems (Snowflake, Oracle, TeraData, Redshift etc) and NoSQL environments such as Hadoop, Spark, Athena
  • Fluency with 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, Google Cloud
  • Ability to successfully communicate ideas and sell strategic plans to senior executives while influencing adoption and successful implementation
  • Use business knowledge, innovative thinking, and sound judgment in the solution of problems or the pursuit of business opportunities.

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

NEW YORK CORRECTION LAW
ARTICLE 23-A, Section 753
LICENSURE AND EMPLOYMENT OF PERSONS PREVIOUSLY CONVICTED OF ONE OR MORE CRIMINAL OFFENSES

§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.