Senior 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

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$150K-$200K From the posting source checked Jun 20, 2026

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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

U.S. benchmark only; posted salary is not compared across countries or currencies.

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

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Scientist Canada, USA Clearco is the capital partner that thinks like a founder. We provide fast, flexible, and founder-first funding designed to scale with your momentum. With over $3 billion deployed to 10,000+ brands, Clearco is the only platform offering both Cash Advance and Invoice Funding in one place. Our performance-driven model delivers competitive terms, capped weekly repayments, and access to capital in as little as 24 hours. There's no dilution, no personal guarantees, and no friction. Whether you're securing inventory, funding ads, or launching your next big product, Clearco helps you move faster with confidence. About the Role We are hiring a Senior Data Scientist to build and improve the models, analyses, and experimentation that power Clearco's risk and revenue decisions. This hands-on senior role is at the intersection of Data Science, Machine Learning, and Product. You will partner closely with Engineering, Product, Risk, and Finance teams to translate ambiguous problems into well-scoped analyses and production-grade solutions. Your work will influence how we assess risk, forecast performance, and responsibly scale funding for eCommerce businesses. What You'll Do - Design and execute data science experiments such as causal analysis, A/B tests, and offline evaluations to validate product and underwriting decisions. - Develop, evaluate, and iterate on predictive models (e.g., credit/risk scoring, revenue forecasting, policy performance). - Own model performance and monitoring: define success metrics, investigate drift, and drive improvements to data quality and feature reliability. - Partner with Product Engineering to productionize models and analytics, focusing on reliability,

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