Logo of Huzzle

Data Science Intern

  • Internship
    Full-time
    Summer Internship
  • Data
    IT & Cybersecurity
  • Salt Lake City
  • Quick Apply

AI generated summary

  • You should be pursuing a relevant degree, have Python or R experience, understand machine learning, SQL, and stats, and possess strong communication, problem-solving, and organizational skills.
  • You will analyze data for insights, build and refine models, clean datasets, create visualizations, assist with A/B testing, collaborate with teams, and ensure compliance with data policies.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field from an ABET-accredited university
  • Some experience with Python or R for data analysis
  • Familiarity with tools like pandas, NumPy, tidyverse or scikit-learn
  • Basic understanding of machine learning concepts such as regression, classification, or clustering
  • Exposure to SQL and querying databases
  • Introductory understanding of statistical analysis, hypothesis testing, and experimental design
  • Must have authorization to work in the US as defined by the Immigration Reform Act of 1986.
  • Must be at least 18 years of age.
  • High performance orientation with the ability to work under pressure, manage multiple priorities, and meet deadlines.
  • Strong attention to detail, time management, and organizational skills.
  • Self-starter with a positive attitude and a passion for delivering high-impact results.
  • Experience working with data visualization tools like Tableau, PowerBI, matplotlib, or ggplot
  • Familiarity with version control tools like Git or GitHub
  • Interest in natural language processing (NLP) or Generative AI (GenAI) is a bonus
  • Interest in the airline, travel, or e-commerce space is a plus
  • Exposure to cloud platforms (e.g., AWS, GCP, or Azure) is a bonus but not required
  • Willingness to ask questions, take feedback, and learn from others
  • Strong attention to detail and a growth mindset
  • Exemplifies Breeze's safety culture, values, and mission
  • Excellent oral and written communication skills
  • Excellent problem-solving skills
  • Ability to work with individuals and teams at all levels in the organization

Responsibilities

  • Support the Data Science team by exploring and analyzing data to uncover trends, patterns, and insights that inform business decisions
  • Help build, evaluate, and refine predictive models and machine learning algorithms under the guidance of experienced team members
  • Clean, preprocess, and organize datasets from multiple sources (structured and unstructured)
  • Assist with creating data visualizations, dashboards, and presentations to communicate findings to stakeholders
  • Learn about experimentation and contribute to A/B testing efforts or analysis of pilots and operational trials
  • Participate in team meetings and cross-functional collaborations to better understand business needs and how data can help
  • Stay up to date with the latest in data science and machine learning tools and techniques
  • Ensure compliance with data governance, privacy, and security policies in all projects and analyses.

FAQs

What is the job title for this position?

The job title is Data Science Intern.

What qualifications are required for the Data Science Intern position?

Candidates must be currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field from an ABET-accredited university.

Is prior experience required for this internship?

While some experience with Python or R for data analysis is necessary, prior work experience is not a requirement for this internship.

What programming languages and tools should I be familiar with?

Applicants should have some experience with Python or R, as well as familiarity with tools like pandas, NumPy, and scikit-learn. Exposure to SQL and data visualization tools is also beneficial.

What kind of projects will the Data Science Intern work on?

The intern will support the Data Science team by exploring and analyzing data to uncover trends, building predictive models, creating data visualizations, and contributing to A/B testing efforts.

Are there any preferred qualifications that can benefit my application?

Yes, preferred qualifications include experience with data visualization tools like Tableau or PowerBI, familiarity with version control tools like Git, and interest in natural language processing (NLP) or Generative AI.

What skills are important for success in this role?

Important skills include excellent communication, problem-solving abilities, attention to detail, time management, and the ability to work with individuals and teams at all levels within the organization.

Does the internship involve any specific learning opportunities?

Yes, the internship offers hands-on experience with data, exposure to real-world projects, and opportunities to learn about the airline industry while working with experienced data scientists.

What are some perks of the job?

One of the perks includes the ability to travel on Breeze Airways.

What is the age requirement for applicants?

Applicants must be at least 18 years of age.

Does Breeze Airways have a non-discrimination policy?

Yes, Breeze Airways is committed to providing equal employment opportunities and prohibits discrimination and harassment of any type.

How can I ensure that I am applying to a legitimate job posting?

To ensure you are applying to an actual Breeze Airways posting, please apply online at www.flybreeze.com and click "Careers" at the bottom of the page.

Welcome to Breeze Airways, a Seriously Nice™, new airline. Book your flights now!

Travel & Leisure
Industry
1001-5000
Employees
2018
Founded Year

Mission & Purpose

Breeze Airways is an American low-cost airline that offers affordable and flexible air travel options across the United States. Their ultimate mission is to provide high-quality service while making flying accessible to more people. The company's purpose is to create a seamless and enjoyable travel experience, emphasising convenience, efficiency, and affordability for its passengers.