1

Data Science Jobs in Gilbert, AZ (NOW HIRING)

People Data Scientist

Tempe, AZ ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling ...

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 ...

People Data Scientist

Tempe, AZ ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling ...

People Data Scientist

Tempe, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling ...

Qualifications: - Bachelor's or master's degree in computer science, Statistics, Mathematics, Data Science, or a related field. - 3+ years of experience in machine learning, statistical modeling, and ...

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 ...

Sr Data Scientist

Scottsdale, AZ

$123K - $183K/yr

  • Medical

  • PTO

Drive best practices in data science. * Ensure data quality and integrity in all processes. * Mentor and guide junior data scientists. * Stay updated with the latest trends in data science. Expected ...

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 ...

Data Scientist III

Phoenix, AZ ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous business problems into analytical approaches, developing models with appropriate validation, deploying to ...

Data Scientist III

Phoenix, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous business problems into analytical approaches, developing models with appropriate validation, deploying to ...

Data Scientist III

Phoenix, AZ ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous business problems into analytical approaches, developing models with appropriate validation, deploying to ...

Data Scientist III

Phoenix, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent owns complex AI and data science initiatives end to end: translating ambiguous business problems into analytical approaches, developing models with appropriate validation, deploying to ...

Data Scientist

Scottsdale, AZ ยท On-site

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Principal Data Scientist

Phoenix, AZ ยท On-site

$150 - $210/hr

What You'll DoClinical Data Science Leadership: Lead the design and delivery of data science solutions for healthcare and life sciences use cases, including clinical analytics, predictive modeling ...

New

Clinical Data Science Leadership: Lead the design and delivery of data science solutions for healthcare and life sciences use cases, including clinical analytics, predictive modeling, operational ...

Lead AI and Data Science Engineer II

Tempe, AZ ยท On-site

$98K - $129K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

Showing results 41-60

Data Science information

See Gilbert, AZ salary details

$37.4K

$122.4K

$195.9K

How much do data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science in Gilbert, AZ is $122,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,600.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Gilbert, AZ?

The most popular types of Data Science jobs in Gilbert, AZ are:

What are popular job titles related to Data Science jobs in Gilbert, AZ?

For Data Science jobs in Gilbert, AZ, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Gilbert, AZ look for?

The top searched job categories for Data Science jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Data Science jobs?

Cities near Gilbert, AZ with the most Data Science job openings:

Infographic showing various Data Science job openings in Gilbert, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,377 per year, or $58.8 per hour.

People Data Scientist

Unitek Learning

Tempe, AZ โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 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.ย  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.
  • ย 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.ย  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