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Freelance Machine Learning Quant Jobs in Arizona

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

... quantitative discipline; advanced degree preferred. * Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such as Python and SQL.

Advisor Group

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

We are looking for a curious, detail-oriented analyst to join the Quantitative Analytics team! This ... Coursework or project experience in statistical modeling, machine learning, or data visualization

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

We are looking for a curious, detail-oriented analyst to join the Quantitative Analytics team! This ... Coursework or project experience in statistical modeling, machine learning, or data visualization

Osaic

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

We are looking for a curious, detail-oriented analyst to join the Quantitative Analytics team! This ... Coursework or project experience in statistical modeling, machine learning, or data visualization

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... a related quantitative field required; Master's degree preferred. * Minimum of 5 years of ...

Unitek Learning

People Data Scientist

Tempe, AZ

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... a related quantitative field required; Master's degree preferred. * Minimum of 5 years of ...

Unitek Learning

People Data Scientist

Tempe, AZ

This role leverages predictive modeling, experimentation, machine learning, and workforce analytics ... a related quantitative field required; Master's degree preferred. * Minimum of 5 years of ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Corporate Finance Opportunity in Financial Services Quantitative Analyst I Location(s): Scottsdale ... machine learning, or data visualization Interest in automation, process improvement, and scalable ...

Osaic

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Corporate Finance Opportunity in Financial Services Quantitative Analyst I Location(s): Scottsdale ... Coursework or project experience in statistical modeling, machine learning, or data visualization

Vangard, Inc.

AI/ML Product Manager

Scottsdale, AZ · On-site

... machine learning (ML) enable better outcomes for our clients and our crew. In this role, you will ... Use qualitative and quantitative analysis to assess performance, improve user experience, and ...

Globe Telecom, Inc.

Data Science Manager

Globe, AZ

Machine learning: using computers to improve as well as develop algorithms; * Statistical analysis: to understand and work around possible limitations in models. Education * Degree in quantitative ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... quantitative background and coursework in or working knowledge of linear algebra, calculus, and ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... quantitative background and coursework in or working knowledge of linear algebra, calculus, and ...

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Freelance Machine Learning Quant information

What is the difference between Freelance Machine Learning Quant vs Freelance Data Scientist?

AspectFreelance Machine Learning QuantFreelance Data Scientist
CredentialsStrong background in quantitative finance, mathematics, and machine learningBackground in statistics, data analysis, and programming; often less finance-specific
Work EnvironmentFinancial firms, hedge funds, or independent consulting in financeVarious industries including tech, healthcare, marketing, and finance
Industry UsagePrimarily in finance and trading

Freelance Machine Learning Quants focus on applying machine learning techniques to financial markets, often working with trading strategies and risk models. Freelance Data Scientists have a broader scope, working across multiple industries to analyze data, build predictive models, and generate insights. While both roles require strong technical skills, the finance-specific knowledge distinguishes the Freelance Machine Learning Quant from the Freelance Data Scientist.

What are the most commonly searched types of Machine Learning Quant jobs in Arizona?

The most popular types of Machine Learning Quant jobs in Arizona are:

What are popular job titles related to Freelance Machine Learning Quant jobs in Arizona?

For Freelance Machine Learning Quant jobs in Arizona, the most frequently searched job titles are:

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The top searched job categories for Freelance Machine Learning Quant jobs in Arizona are:

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Cities in Arizona with the most Freelance Machine Learning Quant job openings:

Freelance Machine Learning Quant jobs near you
Infographic showing various Freelance Machine Learning Quant job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Data Scientist

Gilbert, AZ • On-site

Champions Funding LLC
Finance and Insurance • 51 - 200 employees
Learn more about Champions Funding LLCexternal

Full-time

Re-posted 6 days ago

Job description

Description:

• Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments.
• Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making, and generate business insights.
• Translate business objectives into well-defined analytical, statistical, and machine learning solutions that deliver measurable business value.
• Analyze large, complex datasets to identify trends, patterns, opportunities, and operational improvements.
• Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments.
• Evaluate data quality, model performance, and AI system limitations while ensuring responsible, ethical, and practical implementation of predictive models.
• Present analytical findings, recommendations, and technical concepts clearly to executive leadership and both technical and non-technical stakeholders.
• Develop, monitor, and optimize predictive models, ensuring ongoing performance, accuracy, and reliability through continuous improvement.
• Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation.
• Collaborate across departments to support strategic initiatives, business intelligence projects, forecasting, automation, and operational optimization.
• Maintain thorough documentation of models, methodologies, assumptions, and development processes to support transparency, reproducibility, and governance.
• Support ad hoc analytical projects and provide data-driven recommendations that improve business performance and operational efficiency.

Requirements:

• Bachelor's degree required in Mathematics, Data Science, Computer Science, Engineering, Physics, or another quantitative discipline; advanced degree preferred.
• Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such as Python and SQL.
• Demonstrated experience working with modern AI technologies, including deep learning, large language models (LLMs), generative AI, MLOps, or related machine learning frameworks.
• Experience developing, deploying, and maintaining machine learning models in production environments.
• Strong understanding of cloud computing platforms and modern data science tools and technologies.
• Ability to evaluate model performance, balance trade-offs between accuracy, interpretability, speed, and risk, and apply sound judgment in ambiguous situations.
• Experience communicating complex technical concepts to business leaders and collaborating effectively with cross-functional teams.
• Experience within financial services, mortgage lending, or other highly regulated industries preferred.
• Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a plus.