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Seasonal Ai Math Analyst Jobs (NOW HIRING)

Unchain Data

Senior Data Analyst

San Francisco, CA · On-site

$80 - $120/hr

As we prepare for growth after our Series A, our team -- led by co-founders with PhDs in AI, Math ... The Role We're seeking our first data analytics hire to establish and own the data foundation for ...

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Seasonal Ai Math Analyst information

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How much do seasonal ai math analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for seasonal ai math analyst in the United States is $28.35, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $34.13 per hour, depending on experience, location, and employer.

What is the difference between Seasonal Ai Math Analyst vs Data Scientist?

AspectSeasonal Ai Math AnalystData Scientist
Required CredentialsBachelor's in Math, Statistics, or related field; some roles may prefer certifications in AI or data analysisBachelor's or higher in Computer Science, Statistics, or related; often requires advanced certifications or degrees
Work EnvironmentSeasonal projects, often in retail, finance, or e-commerce sectors; project-based rolesFull-time, diverse industries including tech, finance, healthcare; research and development focus
Employer & Industry UsageUsed by companies needing seasonal data analysis and AI modeling for specific periodsWidely used across industries for ongoing data analysis, predictive modeling, and AI development

In summary, Seasonal Ai Math Analysts focus on short-term, seasonal AI and data analysis projects, often requiring specific certifications and working in project-based environments. Data Scientists typically hold higher qualifications, work full-time across various industries, and engage in continuous data modeling and AI research.

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Seasonal Ai Math Analyst jobs near you

AI System Analyst (AI Monte Carlo)

Saransh Inc

Houston, TX • On-site

Contractor

Re-posted 29 days ago

Job description

Role: AI System Analyst (AI Monte Carlo)
Client address: Houston, TX (Hybrid)
Contract
 
Experience Required: 10-12 years
 
Mandatory skills:
  • AI Monte Carlo
  • Python
     
Key Responsibilities:
  • Solution Architecture: Design and implement advanced Monte Carlo simulation frameworks to solve complex probabilistic problems (e.g., risk assessment, optimization, or predictive forecasting).
  • Client Engagement: Lead discovery sessions with clients to extract and define technical requirements from high-level business goals.
  • Cross-Functional Collaboration: Serve as the primary technical liaison between functional business units and core engineering teams to ensure alignment on deliverables.
  • End-to-End Delivery: Own the full lifecycle of AI development—from algorithmic design and data modeling to deployment and performance tuning.
  • Mentorship & Leadership: Provide technical guidance to junior/mid-level developers while maintaining the self-sufficiency to handle critical individual contributor tasks in agile environments.
Technical Qualifications:
  • Core AI & Math: Expert knowledge of Monte Carlo methods (MCMC, Sequential Monte Carlo, Quasi-Monte Carlo) and their application in AI/ML environments.
  • Programming: Mastery of Python or C++ (high-performance computing experience is a major plus).
  • Infrastructure: Solid understanding of cloud-based AI deployment (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Strategic Thinking: 10+ years of experience navigating the trade