Data Scientist

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

Not verified

Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

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Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist Location not specified At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And that's exactly how we like it. Whether you're welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you're not expected to fit a mold. You're encouraged to break it and create something better. Overview Crocs is seeking a Data Scientist - Supply Chain Analytics to support data-driven decision-making across our Distribution & Logistics network, Wholesale Customer Operations, and Sourcing functions. This role focuses on applying advanced analytics, machine learning, and GenAI-enabled solutions to enhance operational visibility, performance, and decision-making. The ideal candidate is a strong problem-solver who enjoys working with complex data, partnering with global teams, and translating analytics into practical business outcomes. What You'll Do Develop and deploy machine learning and statistical models to support distribution center operations, logistics performance, wholesale customer service, and sourcing analytics. Analyze large-scale operational data related to throughput, service levels, lead times, costs, and supplier performance. Partner with global Distribution, Logistics, Customer Operations (Wholesale), and Sourcing teams to translate business problems into scalable analytics solutions. Collaborate with data engineering teams

Read the full description at careers.crocs.com. FewerJobs shows a preview and links to the original posting.