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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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Ai Math Analyst information

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$41

How much do ai math analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for 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 an AI math analyst?

An AI Math Analyst applies mathematical concepts, statistics, and algorithms to develop and optimize AI models. They analyze data, design predictive models, and ensure mathematical accuracy in machine learning applications. Their work often involves linear algebra, calculus, probability, and optimization techniques to enhance AI performance.

What skills and qualifications are needed to be an AI math analyst?

To thrive as an AI Math Analyst, you need a strong background in mathematics, statistics, machine learning, and programming (commonly Python or R), often supported by a relevant degree in mathematics, computer science, or a related field. Familiarity with tools such as TensorFlow, PyTorch, MATLAB, and data visualization platforms, along with certifications in data science or AI, is highly beneficial. Analytical thinking, problem-solving, effective communication, and collaboration are essential soft skills that help you interpret complex data and share actionable insights. These abilities are crucial for successfully analyzing large datasets, building AI models, and contributing valuable mathematical insights to cross-functional teams.

What challenges does an AI math analyst face in their daily work?

AI Math Analysts frequently work with large, complex datasets that may require extensive cleaning and preprocessing, which can be both time-consuming and technically challenging. They must balance the need for mathematical accuracy with the practical constraints of computational resources and project deadlines. Collaborating with data scientists, engineers, and business stakeholders is common, so the ability to translate complex mathematical concepts into actionable strategies is essential. Overcoming these challenges can be highly rewarding, as it directly contributes to the development and optimization of innovative AI systems.

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Ai Math Analyst jobs near you
Infographic showing various Ai Math Analyst job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $58,959 per year, or $28.3 per hour.

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