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Statistics Data Science Jobs in Arizona (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

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 ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred Generous salary and benefits package includes: * Medical, dental, and vision coverage options for ...

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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 Jun 23, 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.

What jobs can I get with a statistics and data science degree?

A statistics and data science degree prepares you for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical modeling, often within technology, finance, healthcare, or consulting industries.

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 do you do in statistics and data science?

In statistics and data science, professionals analyze data to identify patterns, develop models, and generate insights that inform decision-making. They use tools like Python, R, and SQL, and often work with large datasets, applying techniques such as machine learning, data visualization, and statistical testing to solve complex problems. These roles typically require strong analytical skills and knowledge of statistical methods and programming.

Can you be a data scientist with a statistics degree?

Yes, a statistics degree can provide a strong foundation for a data scientist role, as it covers essential skills like data analysis, probability, and statistical modeling. Data scientists often also need programming skills in languages such as Python or R and experience with data visualization tools and machine learning techniques.

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.

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 June 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.
People Data Scientist

People Data Scientist

Unitek Learning

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Company Description
As a leading healthcare education organization, Unitek Learning's family of schools helps thousands of students launch and accelerate their careers every year. As a rapidly growing and highly successful company, Unitek is also a great place to pursue a rewarding and challenging career. We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment.
Job Description
The People Data Scientist applies advanced statistical, analytical, and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling, experimentation, machine learning, and workforce analytics to identify trends, assess organizational effectiveness, and inform strategies related to talent acquisition, employee engagement, retention, performance, workforce planning, and diversity initiatives. Working collaboratively with Human Resources, Talent Acquisition, Total Rewards, Learning and Development, Finance, and business leaders, the People Data Scientist translates complex workforce data into meaningful recommendations and decision-support tools. The position develops predictive models, conducts research and experimentation, and delivers data-driven insights that improve organizational performance while ensuring ethical, responsible, and compliant use of employee data.
Job Responsibilities:
  • Serve as a subject matter expert for HR technology, workforce data, and people analytics, supporting the optimization and effective use of HCM systems and reporting solutions.
  • Facilitate and support HCM system implementations, enhancements, integrations, testing, and ongoing system optimization across HR, Payroll, Benefits, Talent, and Workforce Management functions.
  • Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve processes, and implement scalable workforce technology and analytics solutions.
  • Configure and maintain HRIS workflows, security roles, business processes, system controls, and reporting structures to support operational efficiency and data integrity.
  • Manage workforce data governance activities, including data validation, audits, compliance monitoring, and the maintenance of accurate and reliable employee data across multiple systems.
  • Develop workforce analytics and statistical analyses to identify trends, correlations, and actionable insights related to headcount, turnover, retention, recruiting, labor costs, engagement, diversity, and workforce planning.
  • Apply predictive analytics, forecasting techniques, and data modeling methodologies to support strategic workforce planning and organizational decision-making.
  • Design, develop, and maintain dashboards, scorecards, and executive reporting solutions that provide visibility into key workforce and business metrics.
  • Translate complex workforce data into clear visualizations, executive presentations, and data-driven narratives that connect people's metrics to business outcomes.
  • Create and maintain automated reporting processes, data integrations, and data pipeline solutions that improve efficiency, accuracy, and scalability of workforce reporting.
  • Partner with HR Centers of Excellence, including Talent Acquisition, Total Rewards, Learning and Development, and Employee Relations, to support analytical and reporting needs.
  • Identify opportunities to improve workforce processes, reporting capabilities, and HR technology solutions through data analysis, automation, and emerging technologies, including AI-enabled tools.

Qualifications
Education, Experience, Knowledge, Skills and Abilities:
  • Bachelor's degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field required; Master's degree preferred.
  • Minimum of 5 years of experience in data science, people analytics, workforce analytics, applied research, or a related analytical discipline.
  • Strong knowledge of statistical modeling, predictive analytics, machine learning, hypothesis testing, survey methodology, and experimental design.
  • Proficiency in SQL and at least one analytical programming language such as Python or R.
  • Experience working with business intelligence and data visualization tools to develop dashboards, reports, and executive presentations.
  • Demonstrated ability to analyze large and complex datasets and communicate findings to diverse audiences.
  • Knowledge of workforce analytics, organizational research methods, employee lifecycle metrics, and talent management concepts preferred.
  • Strong critical thinking, problem-solving, and analytical skills with the ability to independently manage complex projects and priorities.
  • Understanding of data governance, data privacy, responsible AI practices, and bias mitigation principles.
  • Excellent communication and consulting skills with the ability to influence decisions through data-driven insights and recommendations.

Additional Information
We Offer:
  • Medical, Dental and Vision starting the 1st of the month following 30 days of employment
  • 2 Weeks' starting Vacation per year. Increasing based on years of service with company
  • 10 paid Holidays and 1 Floating Holiday
  • 401K with a Company Match
  • Company Paid Life Insurance at 1x's your annual salary
  • Leadership development and training for career advancement
  • Tuition assistance and Forgiveness for you and your family up to 100% depending on program

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