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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.

Osaic

Quantitative Analyst II

Scottsdale, AZ · Hybrid

$70K - $75K/yr

We are looking for a skilled, self-directed analyst to join the Quantitative Analytics team! This ... Exposure to AI, machine learning, or advanced analytics techniques applied to business problems

Osaic

Quantitative Analyst III

Scottsdale, AZ · Hybrid

$85K - $99K/yr

Summary: We are looking for a highly capable, insight-driven analyst to join the Quantitative ... Exposure to AI and machine learning tools and their application to business problems or operational ...

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 · 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 ...

Osaic

Quantitative Analyst II

Scottsdale, AZ · Hybrid

$70K - $75K/yr

Corporate Finance Opportunity in Financial Services Quantitative Analyst II Location(s): Scottsdale ... machine learning, or advanced analytics techniques applied to business problems Experience with ...

Osaic

Quantitative Analyst III

Scottsdale, AZ · On-site +1

$85K - $99K/yr

Corporate Finance Opportunity in Financial Services Quantitative Analyst III Location(s ... machine learning tools and their application to business problems or operational improvement ...

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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:

What job categories do people searching Freelance Machine Learning Quant jobs in Arizona look for?

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

What cities in Arizona are hiring for Freelance Machine Learning Quant jobs?

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, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Scientist

Champions Funding LLC

Gilbert, AZ • On-site

Full-time

Posted 26 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.