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REI · 1 month ago

Senior Data Scientist, Asset Protection & Risk Management

United States

Full-time

Remote

Senior Level

$144K/yr - $245K/yr

5+ years exp

REI Co-op is dedicated to helping people enjoy the outdoors, and they are seeking a Senior Data Scientist for their Asset Protection & Risk Management team. In this role, you will analyze cross-functional data sets and drive the analytics capability of the department, translating business questions into actionable insights.

ApparelConsumer GoodsE-CommerceFashionManufacturingOutdoorsRetailSporting GoodsSports

H1B Sponsor Likely

Responsibilities

Show an infectious curiosity and exceptional determination. Have a deep commitment to learning and applying knowledge to solve important business problems. Push the boundaries of our abilities

Thrive in an environment of change and uncertainty. Apply scientific objectivity and intelligent ingenuity to solve problems and test hypotheses and 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

Highly skilled at querying relational databases (SQL). Able to automate and maintain processes to pull and integrate data from many different 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 examination and insights

Possess exceptional writing, data visualization, and communication skills. Can explain complex quantitative examination clearly and precisely to senior executives

Have a solid passion for answering hard questions with data. Demonstrate the ability to create and implement new ideas at many levels of the organization

Revel in the complex, but seek to simplify and clarify in your examination and communications

May perform other ancillary duties including but not limited to: coordination of testing, tuning, troubleshooting, business consultation and training

Qualification

SQLPythonRData VisualizationStatistical ModelingData Pipeline ManagementSelf-EducationCommunication SkillsCritical ThinkingProblem Solving

Required

Bachelor's degree in computer science, computer engineering, mathematics, statistics, physics, or other quantitative discipline required

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

Exceptional experience in developing sound analytics-based solutions to business problems

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

Has deep experience with SQL and relational data models. Has exceptional skills in visualization tools like Tableau and Sigma. Has exceptional skills in Microsoft tools like Excel and VBA

Excellence in applying critical rigor & technical proficiency to the business environment

Demonstrate skill in explaining complex technical and critical ideas to non-technical audiences. Adjust communication style to fit the audience at any level of the organization

Preferred

Master's Degree or Ph.D

Hadoop knowledge/Experience, Map Reduce, HBASE/HIVE, Basic Spark

Previous experience in a multi-channel retail environment

Benefits

Generous employee discount

Access to health benefits

Retirement savings plan

Accrued time off

Company

REI

Glassdoor3.7

At Recreational Equipment, Inc. (REI), we exist to inspire and enable life outside for everyone.

Founded in 1938

Kent, Washington, USA

10001+ employees

https://www.rei.com/

H1B Sponsorship

REI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (3)

2024 (12)

2023 (12)

2022 (13)

2021 (18)

2020 (12)