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Financial Data Scientist Jobs in Arizona (NOW HIRING)

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

Requirements: * Bachelor's degree required in Mathematics, Data Science, Computer Science ... Experience within financial services, mortgage lending, or other highly regulated industries ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

1872 Consulting

Data Scientist

Tempe, AZ · On-site

... Science, Finance, Accounting, Economics, Statistics or operational research • 6+ years of ... data modeling tools is a plus • Working knowledge with Tableau is a plus Company : 1872 ...

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve ...

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve ...

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Oscar Health

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Republic Services

Data Scientist III

Phoenix, AZ

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Relates operational, commercial, financial, and performance metrics to analytics solutions to drive ...

Republic Services

Data Scientist III

Phoenix, AZ · On-site

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Relates operational, commercial, financial, and performance metrics to analytics solutions to drive ...

Republic Services

Data Scientist III

Phoenix, AZ

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and ... Relates operational, commercial, financial, and performance metrics to analytics solutions to drive ...

Achieve

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Every day, we get to help our members move their finances forward with care, compassion, and ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Achieve

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Every day, we get to help our members move their finances forward with care, compassion, and ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Achieve

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Every day, we get to help our members move their finances forward with care, compassion, and ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Achieve

Data Scientist (AHL)

Tempe, AZ

Every day, we get to help our members move their finances forward with care, compassion, and ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Office of the Inspector General

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies ... Financial disclosure is required * Selective Service registration required * Completion of one-year ...

USAA

Data Scientist Senior

Phoenix, AZ · On-site

At USAA, our mission is to empower our members to achieve financial security through highly ... The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic ...

PayPal

Sr Data Scientist

Scottsdale, AZ · On-site

$123K - $183K/yr

Drive best practices in data science. * Ensure data quality and integrity in all processes ... financial-delivering meaningful value where it matters most.We strive to create a flexible ...

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Showing results 1-20

All JobsFinancial Data Scientist JobsFinancial Data Scientist Jobs in Arizona

Financial Data Scientist information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do financial data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for financial data scientist in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What does a financial data scientist do?

A Financial Data Scientist analyzes complex financial data using statistical, machine learning, and computational techniques to identify patterns, forecast trends, and support decision-making within financial institutions. They work with large datasets from sources like market data, customer transactions, and economic indicators to develop predictive models and data-driven strategies. Their work helps organizations manage risk, optimize portfolios, detect fraud, and gain a competitive edge in the financial sector.

What are the key skills and qualifications needed to thrive as a financial data scientist?

To thrive as a Financial Data Scientist, you need strong quantitative skills, proficiency in statistical analysis, and a background in finance or economics, typically supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial databases and tools like Bloomberg Terminal are also important. Critical thinking, problem-solving, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for building accurate financial models, driving data-driven decision-making, and delivering value in dynamic financial environments.

How does a financial data scientist typically collaborate with other departments within a financial organization?

Financial Data Scientists regularly work alongside cross-functional teams, including risk analysts, portfolio managers, and software engineers. They collaborate to develop predictive models, automate data pipelines, and translate complex data insights into actionable business strategies. Effective communication is key, as they must explain technical findings to stakeholders with varying levels of data literacy. This collaborative environment not only fosters innovation but also offers opportunities to learn from other experts and expand your professional network.

What is the difference between Financial Data Scientist vs Quantitative Analyst?

AspectFinancial Data ScientistQuantitative Analyst
Required CredentialsDegree in Finance, Data Science, or related fields; often certifications like CFA or FRMDegree in Mathematics, Statistics, Finance; CFA or FRM common
Work EnvironmentFinancial institutions, tech firms, investment firms; focus on data modeling and predictive analyticsInvestment banks, hedge funds, asset management; focus on trading strategies and risk modeling
Employer & Industry UsageUsed across finance and tech sectors for data-driven decision makingPrimarily in finance for trading, risk, and portfolio management

Financial Data Scientists analyze large datasets to develop predictive models and insights, often combining finance knowledge with data science skills. Quantitative Analysts focus on developing mathematical models for trading and risk management. While both roles require strong quantitative skills and finance knowledge, Financial Data Scientists tend to work more on data analysis and machine learning, whereas Quantitative Analysts focus on financial modeling and trading strategies.

What are popular job titles related to Financial Data Scientist jobs in Arizona?

For Financial Data Scientist jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Financial Data Scientist jobs in Arizona look for?

The top searched job categories for Financial Data Scientist jobs in Arizona are:

What cities in Arizona are hiring for Financial Data Scientist jobs?

Cities in Arizona with the most Financial Data Scientist job openings:

Financial Data Scientist jobs near you
Infographic showing various Financial Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,378 per year, or $55 per hour.

Data Scientist

Champions Funding LLC

Gilbert, AZ • On-site

Full-time

Re-posted 9 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.