ZipRecruiter

Log In

1

Behavioral Data Science Jobs in Arizona (NOW HIRING)

Globe Telecom, Inc.

Data Science Manager

Globe, AZ · On-site

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 ...

Intel

Data Scientist/Statistician

Phoenix, AZ · On-site

$116K - $228K/yr

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound ... and behavioral traits: * Experience in using AI/ML/Analytics algorithms and methodologies

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

$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 ...

News Corporation

Senior Data Scientist

Scottsdale, AZ · On-site

... behavior insights, and performance measurement. The role is critical in surfacing high-impact ... What You'll Bring * BS in computer science, statistics, mathematics, operations research, or ...

next page

Showing results 1-20

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 Sep 14, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $104,249 per year, or $50.1 per hour.

Data Science Manager

Globe, AZ • On-site

Globe Telecom, Inc.
See more jobs at Globe Telecom, Inc.external

Full-time

Re-posted 7 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The Data Science Manager leads the end-to-end development of data-driven solutions, from translating business needs into data science projects, to building, deploying, and monitoring predictive models in production. This role ensures models deliver measurable business impact, maintains the reliability of machine learning pipelines, and collaborates closely with business, product, and engineering teams to integrate data science solutions into operational systems.

DUTIES AND RESPONSIBILITIES:

Data Exploration & Feature Engineering

  • Lead data extraction, exploration, cleansing, and transformation of large and complex datasets

  • Design, engineer, and validate features needed for predictive models and advanced analytics

  • Build frameworks and data pipelines that combine telco datasets with digital, social, and external data sources to create a holistic customer view.

Model Development & Performance Management

  • Translate business problems into clear data science approaches and model requirements

  • Build, test, and deploy machine learning and statistical models that address business needs

  • Track performance, accuracy, drift, and business value of deployed models

  • Conduct periodic model tuning and ensure continuous improvement aligned with ROI goals.

Insights, Applications & Business Enablement

  • Translate model outputs into clear insights, actionable recommendations, and campaign or operational strategies

  • 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 decision-making and customer lifecycle programs.

REQUIREMENTS:

Work Experience

  • Minimum of three (3) years' experience in customer analytics domain and/or credit risk assessment and financial services, covering most of the following: data mining, predictive modeling, machine learning, statistical modeling and analysis, large scale data acquisition, transformation, and cleaning, both structured and unstructured data

  • Proven track record of leading and collaborating on advanced analytics strategic initiatives; Proven track record of operationalization of analytic models in collaboration with marketing/risk and IT teams

  • Worked with large, unfiltered data sets or data science research

Level of Knowledge

  • Has Knowledge of both structured and unstructured data

  • Must possess core competencies, deep understanding and relevant experience in

  • Scripting or programming experience: familiarity in programming languages with relational databases (e.g. Python, Java, Ruby, Clojure, Matlab, Pig, SQL);

  • Statistical Analysis: advanced usage of off-the-shelf tools such as R, SAS, SPSS, Weka and other analytical tools or software

  • Big Data: Experience with Big data tools such as HDFS, Cassandra, Storm

  • Database knowledge: skilled in structured database

  • Familiar with most of the following disciplines:

  • Conceptual modeling: to be able to share and articulate modeling;

  • Predictive modeling: most of the big data problems are towards being able to predict future outcomes;

  • Hypothesis testing: being able to develop hypothesis and test them with careful experiments;

  • Natural Language Processing: the interactions between computer and humans;

  • Machine learning: using computers to improve as well as develop algorithms;

  • Statistical analysis: to understand and work around possible limitations in models.

Education

  • Degree in quantitative discipline such as Statistics, mathematics, Operations Research, Engineering, Computer Science, Econometrics or Information Science such as Business Analytics or Informatics

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

Apply