Company

University Of PhoenixSee more

addressAddressPhoenix, AZ
type Form of workFull-time
salary Salary$30,000 a year
CategoryEducation/Training

Job description

General Information

Location:

US-AZ - Phoenix

Position Type:

Full Time

Virtual Eligible:

Yes

Job Category:

Administration

Ref #:

6595

Description and Requirements

Are you searching for a rewarding, fulfilling position that offers challenging work and the ability to make a big impact while working side-by-side with a team of fun, innovative people? Ideally, would you like this position to be with an organization that makes a positive contribution to the world? If so…we would love to hear from you!

About Us
University of Phoenix is a leading higher education institution founded in 1976 by Dr. John Sperling. Our mission is to improve the lives of our students, their families and future generations through higher education. Our values (which hopefully you share) are: Brave. Honest. Focused.

Our University values and embraces all team members and their unique perspectives. We fundamentally believe in fostering an environment which deeply respects, celebrates, and actively encourages a diverse workforce. We are committed to hiring – and learning from – those who share our passion to help others achieve their educational aspirations.

We offer excellent benefits, an effective recognition program, and outstanding learning and development tools, including tuition vouchers for employees and their qualified family members.

About the Position

A Data Science Internship at University of Phoenix provides an opportunity for enthusiastic students to supplement their formal education with hands-on experience in an area related to their field of study. Interns learn and are exposed to real-world application of practical knowledge in actual business situations and contribute to business results through completion of assigned responsibilities, project participation and collaboration with colleagues within their own department and throughout the University. In addition, Interns have the opportunity to network with others already working in their chosen profession and to build relationships that can help them through the internship and into the future. Actual duties and responsibilities during the internship will vary based on the program discipline.

What You’ll Do

1. Collaborate with team members to work on at least one project associated with data analysis and model building.

  • Research into the most cutting-edge techniques that contribute to ML/AI solutions based on business demands.

3. Assist with ad-hoc data requests, data exploration and building business knowledge models.

4. Engage with various teams within the specific department related to the internship, as well as throughout the University, to gain exposure and hands-on experience in their field of study; actively participate in a wide range of opportunities to apply practical knowledge to current business situations.

5. Collect, analyze and present findings in related areas, using opportunities to apply practical knowledge and gain exposure to working with various levels of colleagues throughout the University.

6. Participate in work groups to broaden knowledge and enhance skills.

7. Perform research and provide actionable recommendations in work-related areas.

8. Perform other duties as assigned or apparent.

NOTE: The primary accountabilities above are intended to describe the general content and requirements of this position and are not intended to be an exhaustive statement of duties. Incumbents may perform all or most of the primary accountabilities listed above. Specific goals or responsibilities will be documented in the incumbents’ performance objectives as outlined by the incumbents’ immediate supervisor or manager.

Supervisory Responsibilities
None.

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES:

  • Currently pursuing a degree in a field related to focus of internship
  • Able to commit to the Intern position for a minimum of 3 months, with the possibility of a longer internship available
  • Able to commit to required hours per week of onsite job performance


PREFERRED KNOWLEDGE, SKILLS AND ABILITIES:
  • Familiarity with skills including python, SQL, machine learning (ML), and artificial intelligence (AI).
  • Excellent research, analytical, and critical thinking skills that can utilized to interpret data
  • Prior work experience with data would be a plus.

As an Equal Opportunity employer, we particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.


If you are an active-duty military member seeking employment when off-duty, compliance with Department of Defense Joint Ethics Regulation, 5500-7-R, is required prior to starting employment with University of Phoenix. You are advised to contact your base Judge Advocate General to seek such approval and answer any questions.
Pay Range

The hourly pay rate range is $14.42 (minimum), $21.63 (midpoint), and $28.85 (maximum). The annualized amount, not including eligible overtime pay, is $30,000 (minimum), $45,000 (midpoint), and $60,000 (maximum).*
  • Typical hiring range is between the minimum and midpoint of the above pay range. Actual starting base pay may vary based on factors such as education, experience, skills, location and budget.

Salary minimum

$30,000

Salary midpoint

$45,000

Salary maximum

$60,000

Manual Salary maximum

60000

Hourly midpoint

21.63

Hourly minimum

14.42

Hourly maximum

28.85

Manual Hourly Midpoint

0.00

Manual Hourly Minimum

0.00

Manual Hourly Maximum

0.00

CA Hourly Rate/Range

$X or $X - $Y
Refer code: 8521379. University Of Phoenix - The previous day - 2024-03-10 06:43

University Of Phoenix

Phoenix, AZ
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