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Statistics Data Science Jobs in Arizona (NOW HIRING)

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... science projects across multiple teams and domains. In this role, you'll take ownership of ... Research, develop, and maintain data pipelines, statistical models, and advanced analytical ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Unitek Learning

People Data Scientist

Tempe, AZ

Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field ...

Unitek Learning

People Data Scientist

Tempe, AZ · On-site

Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field ...

Unitek Learning

People Data Scientist

Tempe, AZ

Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Master's or PhD in Computer Science, Data Science, Statistics, or a related field. * 10-15 years of experience in AI/data science, with at least 5 years in a leadership role. * Proven experience ...

Ultra Clean Technology

Data Scientist

Phoenix, AZ · On-site

Required : • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. • 3-5 years of experience in data science or advanced analytics ...

Oscar Health

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

... science projects across multiple teams and domains. In this role, you'll take ownership of ... Research, develop, and maintain data pipelines, statistical models, and advanced analytical ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ

Master's or PhD in Computer Science, Data Science, Statistics, or a related field. * 10-15 years of experience in AI/data science, with at least 5 years in a leadership role. * Proven experience ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... science projects across multiple teams and domains. In this role, you'll take ownership of ... Research, develop, and maintain data pipelines, statistical models, and advanced analytical ...

QuantumClean

Data Scientist

Phoenix, AZ

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master's degree is a plus. * Experience * 3- 5 years of experience in data science or ...

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All JobsStatistics Data Science JobsStatistics Data Science Jobs in Arizona

Statistics Data Science information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do statistics data science jobs pay per year?

As of Jul 16, 2026, the average yearly pay for statistics data science 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.

Can I get a data science job with a statistics degree?

A statistics degree can provide a strong foundation for a data science role, as it covers essential skills like data analysis, probability, and statistical modeling. However, proficiency in programming languages such as Python or R, experience with data manipulation tools, and knowledge of machine learning are often required to qualify for data science positions.

What are the key skills and qualifications needed to thrive as a Statistics Data Scientist, and why are they important?

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.

Is statistics and data science a good career?

Statistics and data science are considered strong career options due to high demand across industries such as technology, finance, and healthcare. These roles typically require skills in programming, data analysis, and machine learning, and often offer competitive salaries and growth opportunities.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling. However, statisticians are still essential for designing experiments, interpreting results, and ensuring data quality, making their skills valuable alongside AI tools in data science and analytics environments.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.
What are popular job titles related to Statistics Data Science jobs in Arizona? For Statistics Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Statistics Data Science jobs in Arizona look for? The top searched job categories for Statistics Data Science jobs in Arizona are:
Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in Arizona as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $153,778 per year, or $73.9 per hour.
Data Scientist II

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131K - $172K/yr

Other

Medical, PTO

Re-posted 9 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

239th of 281 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

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