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Entry Level Behavioral Data Science Jobs in Arizona

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 ...

Pwc

AI & GenAI Data Scientist - Manager

Phoenix, AZ · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Boeing

Entry level Industrial Engineer

Mesa, AZ · On-site

$69K - $93K/yr

Entry level Industrial Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related ...

Boeing

Entry level Industrial Engineer

Mesa, AZ · On-site

$69K - $93K/yr

Entry level Industrial Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related ...

Boeing

Entry level Industrial Engineer

Mesa, AZ · On-site

$69K - $93K/yr

Entry level Industrial Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related ...

Succeed ABA Arizona

Behavior Technician

Rimrock, AZ · On-site

$20 - $28/hr

We hire both Experienced and Entry-Level behavior therapists, as well as Behavior Technicians (BTs ... Data collection, analysis and preparation for presentation * Coordinate with other program staff to ...

Succeed ABA Arizona

Behavior Technician (BT)

Phoenix, AZ · On-site

$18 - $27/hr

We hire both Experienced and Entry-Level behavior therapists, as well as Behavior Technicians (BTs ... Data collection, analysis and preparation for presentation * Coordinate with other program staff to ...

Succeed ABA Arizona

Behavior Technician (BT)

Peoria, AZ · On-site

$18 - $26/wk

We hire both Experienced and Entry-Level behavior therapists, as well as Behavior Technicians (BTs ... Data collection, analysis and preparation for presentation * Coordinate with other program staff to ...

Succeed ABA Arizona

Behavior Technician (BT)

Sun City, AZ · On-site

$18 - $26/hr

We hire both Experienced and Entry-Level behavior therapists, as well as Behavior Technicians (BTs ... Data collection, analysis and preparation for presentation * Coordinate with other program staff to ...

ACES

Entry Level Behavior Technician

Mesa, AZ · On-site

$21 - $26/hr

We prioritize work/life balance, employee wellness, and clear growth opportunities in a meaningful, data-driven field. As a Behavior Technician, you'll work one-on-one with children, helping them ...

ACES

Entry Level Behavior Technician

Glendale, AZ · On-site

$21 - $26/hr

We prioritize work/life balance, employee wellness, and clear growth opportunities in a meaningful, data-driven field. As a Behavior Technician, you'll work one-on-one with children, helping them ...

ACES

Entry Level Behavior Technician

Phoenix, AZ · On-site

$17 - $20/hr

We prioritize work/life balance, employee wellness, and clear growth opportunities in a meaningful, data-driven field. As a Behavior Technician, you'll work one-on-one with children, helping them ...

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Entry Level Behavioral Data Science information

What is the difference between Entry Level Behavioral Data Science vs Entry Level Data Analyst?

AspectEntry Level Behavioral Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Psychology, Data Science, or related fields; basic knowledge of statistics and programmingBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch settings, tech companies, or consulting firms focusing on human behavior analysisBusiness environments, marketing firms, or finance departments analyzing data trends
Employer & Industry UsageOrganizations studying consumer behavior, user experience, or social sciencesCompanies seeking to interpret data for decision-making, reporting, and operational insights

Entry Level Behavioral Data Science focuses on understanding human behavior through data, often requiring knowledge of psychology and statistics. Entry Level Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills, behavioral data science emphasizes behavioral insights, whereas data analysts focus on data reporting and visualization.

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Entry Level Behavioral Data Science jobs near you

Data Science Manager

Globe, AZ • On-site

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

Full-time

Re-posted yesterday

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