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Internship Data Science Economics Jobs in Arizona

Shamrock

Data Science Analyst

Phoenix, AZ · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, Economics, Operations Research, Supply Chain, or a related field required. * Master ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

1872 Consulting

Data Scientist

Tempe, AZ · On-site

... Computer Science, Econometrics, Statistics, Operational Research, or equivalent analytical or technical fields that use large data and statistics Preferred : • Knowledge of bank products (e.g ...

State Farm

Lead Data Scientist - Gen AI

Tempe, AZ · On-site

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ... nature science (physics, chemistry etc.), economics, data science, quantitative marketing ...

Intel

Senior AI / Data Science Engineer

Phoenix, AZ

$105K - $143K/yr

... experience, internship experience and / or schoolwork/classes/research. The preferred ... Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield ...

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 · 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 ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Economics/Econometrics, etc.) * Experience with B2B or ecommerce pricing, such as quote ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Economics/Econometrics, etc.) * Experience with B2B or ecommerce pricing, such as quote ...

Master Electronics

Data Scientist II

Phoenix, AZ

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Economics/Econometrics, etc.) * Experience with B2B or ecommerce pricing, such as quote ...

Nextiva

Intern, Marketing (Data Science)

Scottsdale, AZ

$15 - $20.25/hr

At least one prior internship or a substantial academic or personal project in analytics, data science, or applied AI * Comfortable in Python and SQL, and comfortable in chaos * Already shipping AI ...

Nextiva

Intern, Marketing (Data Science)

Scottsdale, AZ · On-site

$15 - $20.25/hr

At least one prior internship or a substantial academic or personal project in analytics, data science, or applied AI * Comfortable in Python and SQL, and comfortable in chaos * Already shipping AI ...

USAA

Data Scientist Senior

Phoenix, AZ · On-site

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ... Strong experience in querying and preprocessing data from structured and/or unstructured databases ...

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All JobsData Science Economics JobsInternship Data Science Economics JobsInternship Data Science Economics Jobs in Arizona

Internship Data Science Economics information

What is an internship in data science economics?

An Internship in Data Science Economics is a temporary position that allows students or recent graduates to gain practical experience applying data science techniques to economic problems. Interns typically work on projects involving data analysis, statistical modeling, and economic research, often using programming languages like Python or R. The role helps bridge the gap between academic knowledge and real-world applications, providing valuable skills for a future career in data science or economics.

What types of projects do interns typically work on in a data science economics internship?

Interns in Data Science Economics roles often work on projects involving data analysis, economic modeling, and statistical research to support business decision-making. These projects may include analyzing large datasets to identify economic trends, building predictive models, and creating visualizations to communicate insights. Interns usually collaborate closely with both data scientists and economists, gaining exposure to real-world applications of economic theories and data-driven problem-solving. This hands-on experience helps interns develop technical and analytical skills while contributing meaningful work to the team.

What are the key skills and qualifications needed to thrive as an internship data science economics, and why are they important?

To thrive as an Internship Data Science Economics, you need a solid background in statistics, econometrics, and programming languages like Python or R, typically supported by progress toward a degree in economics, data science, or a related field. Familiarity with data analysis tools such as SQL, statistical software, and visualization platforms like Tableau is often required. Strong analytical thinking, effective communication, and the ability to collaborate in team environments help interns excel in this role. These skills are crucial for interpreting economic data, delivering actionable insights, and supporting informed decision-making within organizations.

What is the difference between Internship Data Science Economics vs Data Analyst Intern?

AspectInternship Data Science EconomicsData Analyst Intern
Required SkillsStatistics, economics, programming (Python/R), data analysisData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, economic modeling, data interpretationBusiness insights, reporting, dashboard creation
Industry UsageFinance, consulting, government, research institutionsMarketing, finance, tech companies

Internship Data Science Economics typically involves economic modeling, statistical analysis, and programming skills, often in research or policy environments. Data Analyst Internships focus on interpreting data to generate business insights, using tools like Excel and SQL. Both roles require analytical skills but differ in focus and industry applications.

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

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

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

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

What cities in Arizona are hiring for Internship Data Science Economics jobs?

Cities in Arizona with the most Internship Data Science Economics job openings:

Internship Data Science Economics jobs near you

Data Science Manager

Globe, AZ

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

Full-time

Re-posted 23 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.

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