Senior Data Scientist - Asset Protection

Posted Date: Jan-10-2022

Job ID: 22545

Job Type: Full Time

Job Function: Asset Protection

City: Seattle

State: Washington

Store: Seattle HQ

Remote Eligible: Yes



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.

As the Asset Protection & Risk Management Data Scientist at REI, you will have the opportunity to work on rich, cross-functional data sets and influence the long-term evolution of our department’s analytics capability. You should have excellent technical, business and communication skills and be able to translate key business questions into data acquisition processes, data sets, statistical models and analysis that answer those questions. 

 

You will drive regular deep, topical analyses of strategic and tactical questions focusing on an industry concept of Total Retail Loss with significant focus on inventory accuracy. This versatile role leverages an understanding of statistical modelling, combined with technical aptitude and business understanding to build capacity and insights, enabling REI to deliver outstanding results. The ideal candidate is a self-starter with a wide range of technical & analytical skills and is highly proficient in turning data discoveries into persuasive, actionable insights. 

 

 

Your Planning & Navigating Requirements 

  • Display an infectious intellectual curiosity and fortitude, with a deep commitment to learning and applying to solve critical business problems and push the boundary of our capabilities 
  • Thrive in an environment of flux and uncertainty by applying equal parts scientific objectivity and intellectual ingenuity to solving problems and proving out hypothesis and long-held beliefs 
  • Proactively develop new metrics and studies to quantify the value of different aspects of business processes and consumer behavior 
  • Translate analytic insights into concrete, actionable recommendations for business or product improvement 
  • Proficiency at querying relational databases (SQL) and ability to automate and maintain processes to pull & integrate data from multiple, heterogeneous sources 
  • Translate and effectively communicate future business needs into requirements that inform enterprise analytics platform strategy 
  • Integration of internally and externally produced unstructured, semi-structured, and relational data sources 
  • Build and maintain processes to acquire, transform, and curate multiple types of data necessary for analysis and insights 
  • Possess strong writing, data visualization and communication skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives. 
  • Have a strong passion for answering hard questions with data and demonstrated ability to conceptualize, incubate, and implement new ideas across multiple levels of the organization 
  • Revel in the complex, but seek to simplify and clarify in your analysis and communications 
  • May perform other ancillary duties including but not limited to: coordination of testing, tuning, troubleshooting, business consultation and training 

Bring your passion and expertise


Knowledge/Experience Requirements: 

  • 5+ years of related work experience as a data scientist, predictive analyst, statistician, quantitative analyst or actuary. 

  • Demonstrated ability to self-educate and learn while doing in a highly complex, ambiguous, and rapidly changing environment. 

  • Strong experience in developing sound analytics-based solutions to business problems 

  • 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 

  • Proficiency in at least one modern programming language and a statistical programming language, Python & R preferred 

  • Fluency with statistical and machine learning algorithms such as decision trees, neural networks, collaborative filtering, clustering, survival analysis, graph theory, etc. 

  • Deep experience with SQL and relational data models along with stout visualization (Tableau, D3, etc.) and MS (Excel, VBA, etc.) skills 

  • Experience using an enterprise data science platform for developing and deploying data models (Dataiku, Databricks, etc.) 

  • Excellence in applying analytical rigor & technical proficiency to the business environment 

  • Proficiency in communicating complex technical and analytical concepts to non-technical audiences and flexing communication styles to meet the needs of the audiences across all levels of the organization

    Education Requirements: 
  • Master’s degree plus 4 years of experience OR Bachelor’s degree plus 8 years of experience  

    Behavioral Competency Requirements: 

  • Actively participates and collaborates with others on one's own team and across REI for the achievement of business goals. 

  • Flexibility in one's viewpoints and positions in order to support the direction taken by others at REI. 

  • Display and convey confidence in technical solutions and analytical concepts across multiple levels of the organization 

  • Use of business knowledge, innovative thinking, and sound judgment in the solution of problems or the pursuit of business opportunities. 

  • Consolidates information from various sources including feedback from others to reach sound decisions. 

  • Considers the ultimate impact of decisions and actions on internal and external customers. 

  • Works smart by setting effective work goals, establishing priorities, and planning well in order to produce quality work. 

  • Executes effectively by using resources efficiently, meeting deadlines, and keeping others informed of work plans and progress toward goals. 

  • Clearly conveys and accurately receives information by a variety of methods and in various situations. 

  • Builds rapport with all kinds of people inside and outside the organization. 

  • Acts upon opportunities and involves and influences others in the accomplishment of worthwhile organizational goals. 

  • Challenges the status quo, champions change and influences others to change. 

Great if You Have:
  • Previous experience in a multi-channel retail environment 

  • Ph.D. 
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.

#LI-DR1

As required by the Colorado Equal Pay Transparency Act, REI provides a range of minimum compensation for roles that may be hired in Colorado. 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.

$95,000 to $200,000 per year

To review benefits information, including medical, retirement, and time off visit http://foryourbenefit-rei.com.

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.