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Fraud Data Scientist Jobs in Arizona (NOW HIRING)

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Oscar Health

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Oscar Health

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Office of the Inspector General

Data Scientist

Tucson, AZ · On-site +1

$50K - $100K/yr

... fraud, and mismanagement in DHS programs and operations. Learn more about this agency Duties Help ... The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies ...

Master-Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $160/hr

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Exposure to industry‑specific domains such as e‑commerce, marketing analytics, risk/fraud ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Exposure to industry‑specific domains such as e‑commerce, marketing analytics, risk/fraud ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Exposure to industry-specific domains such as ecommerce, marketing analytics, risk/fraud, supply ...

Office of the Inspector General

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

... fraud, and mismanagement in DHS programs and operations. Learn more about this agency Duties Help ... The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies ...

Master Electronics

Data Scientist II

Phoenix, AZ

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Exposure to industry-specific domains such as ecommerce, marketing analytics, risk/fraud, supply ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Exposure to industry-specific domains such as ecommerce, marketing analytics, risk/fraud, supply ...

PayPal

Sr Data Scientist

Scottsdale, AZ

$123K - $183K/yr

Drive best practices in data science. * Ensure data quality and integrity in all processes ... To learn more about how to identify and avoid recruitment fraud please visit For the majority of ...

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All JobsFraud Data Scientist JobsFraud Data Scientist Jobs in Arizona

Fraud Data Scientist information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do fraud data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for fraud data scientist in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the fraud data scientist position, and why are they important?

To thrive as a Fraud Data Scientist, you need strong analytical skills in statistics, machine learning, and data analysis, typically backed by a degree in data science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of fraud detection tools such as SAS, Hadoop, or relevant certifications like CFE are highly valued. Excellent problem-solving ability, communication skills, and the capacity to work collaboratively with cross-functional teams are important soft skills. These abilities are crucial for identifying and mitigating fraudulent activities while ensuring clear collaboration and actionable insights in a high-stakes financial environment.

What is a fraud data scientist?

A Fraud Data Scientist analyzes transactional and behavioral data to detect, prevent, and mitigate fraudulent activities. They use machine learning models, statistical analysis, and anomaly detection techniques to identify suspicious patterns in financial, e-commerce, or other data-heavy industries. Their role involves working with large datasets, collaborating with fraud investigators, and continuously improving fraud detection systems to minimize financial losses and risks.

What are the typical daily responsibilities of a fraud data scientist?

A Fraud Data Scientist's day often involves analyzing large datasets to detect suspicious patterns, developing and validating machine learning models to predict fraudulent activity, and collaborating with other teams such as compliance and risk management. Additionally, they may respond to real-time fraud alerts, participate in meetings to refine detection strategies, and prepare reports for stakeholders. The role combines technical analysis with ongoing learning about emerging fraud trends, making every day dynamic and intellectually challenging. Teamwork and adaptability are essential, as you'll frequently coordinate with engineers and business leaders to continually enhance fraud prevention efforts.

How much do fraud data scientists make?

Fraud data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and fraud detection tools can earn higher salaries, often exceeding $150,000.

What are the most commonly searched types of Fraud Data Scientist jobs in Arizona?

The most popular types of Fraud Data Scientist jobs in Arizona are:

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

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

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

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

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

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

Fraud Data Scientist jobs near you
Infographic showing various Fraud Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131K - $172K/yr

Full-time

Re-posted 10 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

257th of 308 rated insurance

Job description

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
​​You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

  • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
  • Own projects end-to-end, including problem definition, implementation, validation, and iteration
  • Deliver high-quality analytical and modeling outputs with limited manager oversight
  • Collaborate closely with data science peers and cross-functional partners across business units
  • Help ensure data science processes and outputs align with broader team strategies and roadmaps
  • Provide guidance or informal mentorship to junior data scientists or analysts when needed
  • Contribute to improving data science practices, tooling, and documentation

Requirements:

  • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
  • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
  • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

  • Master's degree in a quantitative or technical field
  • Knowledge of or previous work experience in health care or health insurance
  • Experience mentoring or supporting junior team members
  • Experience deploying or supporting models in production environments

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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