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Behavioral Data Science Jobs in Arizona (NOW HIRING)

Shamrock

Data Science Analyst

Phoenix, AZ · On-site

The Data Science Analyst is responsible for using data science, machine learning, statistical ... behavior trends, productivity analysis, and operational exception detection. * Develop and deploy ...

Shamrock Foods Company

Data Science Analyst

Phoenix, AZ · On-site

$95 - $135/hr

The Data Science Analyst is responsible for using data science, machine learning, statistical ... behavior trends, productivity analysis, and operational exception detection. * Develop and deploy ...

Globe Telecom, Inc.

Data Science Manager

Globe, AZ

Identify new opportunities to apply data science, especially in customer behavior prediction, segmentation, and credit risk scoring. * Partner with business teams to embed analytics solutions into ...

Nextiva

Intern, Marketing (Data Science)

Scottsdale, AZ · On-site

$15 - $20.25/hr

Current student or recent grad in Computer Science, Data Science, Statistics, Marketing Analytics ... behaviors: * Drives Results: Action-oriented problem solvers who quickly bring clarity and ...

Nextiva

Intern, Marketing (Data Science)

Scottsdale, AZ

$15 - $20.25/hr

Current student or recent grad in Computer Science, Data Science, Statistics, Marketing Analytics ... behaviors: * Drives Results: Action-oriented problem solvers who quickly bring clarity and ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Blending medical, behavioral, and lifestyle support into a single plan because restoring life takes ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ · On-site

$135K - $216K/yr

Apply MITRE ATT&CK and related frameworks to align analytics with adversary behaviors and threat use cases. * Provide technical solution design and act as a technical lead or mentor for data science ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ · On-site

$135K - $216K/yr

Apply MITRE ATT&CK and related frameworks to align analytics with adversary behaviors and threat use cases. * Provide technical solution design and act as a technical lead or mentor for data science ...

Peraton

Data Scientist / Active TS/SCI

Chandler, AZ · On-site

$135K - $216K/yr

Apply MITRE ATT&CK and related frameworks to align analytics with adversary behaviors and threat use cases. * Provide technical solution design and act as a technical lead or mentor for data science ...

1872 Consulting

Data Scientist

Tempe, AZ · On-site

... behavior.Develop analytical solutions to recommend Card product team to produce meaningful results.Partnering with other data scientists/business analysts to make them familiar with the transformed ...

1872 Consulting

Data Scientist

Tempe, AZ · On-site

... behavior.Develop analytical solutions to recommend Card product team to produce meaningful results.Partnering with other data scientists/business analysts to make them familiar with the transformed ...

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All JobsBehavioral Data Science JobsBehavioral Data Science Jobs in Arizona

Behavioral Data Science information

See Arizona salary details

$23.3K

$104.2K

$194.2K

How much do behavioral data science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for behavioral data science in Arizona is $104,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,709.00 and $141,748.00 per year, depending on experience, location, and employer.

What is behavioral data science?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What types of projects or problems do behavioral data scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.

What are the key skills and qualifications needed to thrive in behavioral data science, and why are they important?

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

Is behavioral data science in high demand?

Behavioral data science is in high demand across industries such as marketing, finance, and technology due to its focus on understanding human behavior through data analysis and machine learning. Professionals with skills in statistical modeling, programming, and behavioral psychology are sought after as organizations leverage data-driven insights to improve decision-making and user experience.

What does a behavioral data scientist do?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning, and data visualization tools to interpret complex datasets and often work with psychology, marketing, or product teams to improve user engagement and outcomes.

What are the most commonly searched types of Behavioral Data Science jobs in Arizona?

The most popular types of Behavioral Data Science jobs in Arizona are:

What are popular job titles related to Behavioral Data Science jobs in Arizona?

For Behavioral Data Science jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Behavioral Data Science jobs in Arizona look for?

The top searched job categories for Behavioral Data Science jobs in Arizona are:

What cities in Arizona are hiring for Behavioral Data Science jobs?

Cities in Arizona with the most Behavioral Data Science job openings:

Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science 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 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $104,249 per year, or $50.1 per hour.

Data Science Analyst

Phoenix, AZ • On-site

Shamrock
Food Services and Drinking Places • 11 - 50 employees
Learn more about Shamrockexternal

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Job description

The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations. This role works at the intersection of data, technology, and business operations to develop predictive insights, analytical models, and decision-support tools that improve planning, efficiency, cost management, and service performance.
The Data Science Analyst partners with business leaders, operations teams, IT, data engineering, and analytics stakeholders to identify high-value use cases, build and test analytical models, and translate technical outputs into actionable business recommendations. This role is well suited for a candidate who has strong technical skills but also enjoys applying those skills to practical operational challenges.
Essential Duties:
  • Develop, test, and validate predictive models and machine learning solutions for Supply Chain and Operations use cases.
  • Apply statistical modeling, forecasting, classification, regression, clustering, optimization, and other data science techniques to solve business problems.
  • Support use cases such as demand forecasting, labor forecasting, inventory risk, transportation optimization, order volume prediction, customer behavior trends, productivity analysis, and operational exception detection.
  • Develop and deploy anomaly detection models to identify operational exceptions, service disruptions, inventory irregularities, equipment failures, process deviations, and emerging business risks before they impact performance.
  • Support transportation and logistics optimization initiatives by applying advanced analytics and machine learning techniques to improve route efficiency, reduce fuel consumption, optimize network flows, and enhance service performance.
  • Clean, transform, structure, and analyze large datasets from multiple business systems.
  • Perform exploratory data analysis to identify relationships, trends, anomalies, and improvement opportunities.
  • Collaborate with business stakeholders to understand operational processes, pain points, and decision-making needs.
  • Translate business problems into data science questions, analytical methods, and measurable outcomes.
  • Evaluate model accuracy, performance, stability, and business value.
  • Partners with data engineering and IT teams to access, prepare, and improve data sources needed for modeling and analysis.
  • Create dashboards, visualizations, and presentations to communicate model outputs and recommendations.
  • Document model logic, assumptions, data sources, limitations, and business applications.
  • Support the deployment, monitoring, and ongoing refinement of analytical and machine learning solutions.
  • Stay current on data science, machine learning, AI, and analytics methods that may benefit the business.
  • Other duties as assigned.

Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, Economics, Operations Research, Supply Chain, or a related field required.
  • Master's degree in Data Science, Analytics, Statistics, Operations Research, Computer Science, Industrial Engineering, or related discipline preferred.
  • 2-5 years of experience in data science, analytics, statistical modeling, machine learning, business intelligence, or related analytical roles.
  • Experience applying data science methods to real-world business or operational problems.
  • Experience building predictive models, forecasts, or machine learning prototypes preferred.
  • Proficiency in Python, R, SQL, or similar analytical programming languages.
  • Familiarity with machine learning libraries and methods such as scikit-learn, pandas, NumPy, regression models, classification models, clustering, time series forecasting, or optimization techniques.
  • Strong understanding of statistics, probability, data modeling, feature engineering, and model evaluation.
  • Ability to work with structured and unstructured data from multiple systems.
  • Experience with Power BI, Tableau, Databricks, Azure Machine Learning, Snowflake, or similar platforms preferred.
  • Ability to explain technical concepts to non-technical business stakeholders.
  • Strong problem-solving, critical thinking, and analytical reasoning skills.
  • Strong communication and data storytelling skills.
  • Ability to balance technical depth with practical business applications.
  • Strong attention to detail, data quality, and model reliability.
  • Must be flexible and willing to work the demands of the department which is generally limited to weekdays but may be subject to evenings or weekends due to project or department needs.

Corporate Summary:
At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922.
Our Mission: At Shamrock Foods Company, we live by our founding family's motto to "treat associates like family and customers like friends."
Why work for us?
Benefits are a major part of your overall compensation, and we believe offering them at an affordable cost is not only the right thing to do, but it helps keep you and your family healthy. That's why Shamrock Foods pays for the majority of your health insurance, allowing you to take home more of your paycheck. And it doesn't stop there - our associates also enjoy additional benefits such as 401(k) Savings Plan, Profit Sharing, Paid Time Off, as well as our incredible growth opportunities, continued education, and wellness programs.
Equal Opportunity Employer
At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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