Sr. Data Scientist

Posted Date: Dec- 2-2021

Job ID: 22312

Job Type: Full Time

Job Function: Information Technology

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

At REI, we believe that a life outdoors is a life well lived. As an employee of REI, you will have that REI Co-op, 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 Sr. Data Scientist at REI, you will have the opportunity to work on rich, cross-functional data sets and the latest technologies to influence the long-term evolution of our analytics capabilities. This role will help analyze REI’s long-term objectives and identify opportunities to significantly improve our customer experience, brand, and social impact. This role has an impact on REI’s bottom line as well as contributing to our exciting membership, social impact and conservation priorities!


In this role, you will work across a broad set of business domains ranging from website optimization, to inventory optimization, customer relationship management, supply chain and more. You will bring your experience in data analysis, machine learning and experimentation to deliver outstanding solutions. You will also work side-by-side with data scientists and engineers to build and deploy production machine learning pipelines on our enterprise machine learning platform.


Ideally, you are a self-starter with a wide range of technical & analytical skills and is highly proficient in operationalizing models at scale that integrates with multiple applications within the Co-Op’s ecosystem.

Bring your passion and expertise

Responsibilities:

  • Opportunities and problems could be ambiguous and unstructured. You help to bring more clarity and structure to the problem and then work on implementing the solutions for it.
  • Works as a member of a specific team working on one or more initiatives. Works closely with product and business teams and play a significant role in leading the conversations. Able to build consensus. Advises the Manager levels as well as ICs.
  • Approach problems systematically, breaks down the problem in logical steps and devices a coherent strategy to solve it. Ability to select a solid solution from a wide range of data science methodologies with minimal guidance.
  • Generates hypothesis, performs experiment design, and confirms business benefits.
  • Successfully launches data science solutions and model pipelines for the business with some direction and assistance from more senior Data Scientists.
  • Helps in developing IC level scientific understanding and changes in related systems. Makes technical trade-offs for long term/short-term needs.
  • Takes the lead on medium sized projects, requiring some business and technical domain knowledge and expertise.
  • Mentors junior data scientists in the team and provides technical and domain knowledge support to the team.
  • Other Duties as Assigned: May perform other ‘ancillary’ duties as assigned including but not limited to work such as coordination of testing, tuning, troubleshooting, business consultation, training and organizational change management.


Qualifications:

  • 5+ years of data science, predictive analytics, or statistician work experience
  • Bachelors in Statistics, Economics, and Mathematics
  • Experience working with raw and prepared data sources in a variety of RDBMS systems (Snowflake, Oracle, TeraData, Redshift) and NoSQL environments such as Hadoop and Spark.
  • Programming experience in either Python (preferred) or R
  • Cloud computing environment experience such as AWS, Azure, or Google Cloud

#LI-MM2

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.