Senior Scientist, Data Science - Hybrid

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

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

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$106K-$133K From the posting source checked Jun 20, 2026

401(k) match

Not verified

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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

7% above the BLS role benchmark for data and ml aggregate.

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 checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Scientist, Data Science - Hybrid Country US Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements. What you'll need to succeed as a Senior Scientist, Data Science at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning Strong communication skills with a knack for translating complex AI concepts into clear business insights Preferred qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field years of hands-on experience in developing and deploying optimization solutions 5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, m

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