Location:

US-AZ - Phoenix

Position Type:

Full Time

Virtual Eligible:

Yes

Job Category:

Administration

Ref #:

7576

Description and Requirements

At the University of Phoenix, we are committed to the future of work by providing a fully remote, work-from-home environment. This strategy enables us to attract top talent nationwide. Are you looking for a rewarding and fulfilling position that offers challenging work and the opportunity to make a significant impact while collaborating with a team of fun, innovative individuals? Would you prefer to work with an organization that positively contributes to the world? If so, we would love to hear from you!

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.

Job Description: The University of Phoenix, Inc. seeks an Operations Research Data Scientist reporting to headquarters in Phoenix, AZ to design, develop and program statistical and analytical solutions to deliver business insights for the management, planning and optimization of operations, strategies, and student learning.

Translate ambiguous business questions and concerns into specific quantitative questions to be answered with available data. Resolve problems in business planning, management and optimization projects. Research and develop solution products for business processes in Statistical Interference/Analysis/Modeling, Machine learning and Natural Language Processing, Artificial Intelligence, Algorithms, Data Mining and Modeling, and Big Data Query. Design, coordinate and execute pilots or proof of concepts to evaluate new initiatives, technologies and frameworks. Collaborate with cross-functional teams to deploy data science solution and utilize the insights and recommendations generated by analytical models. Drive volume forecasts into the planning exercise for investment decisions with finance and the leadership team. Create optimal short-term plans for businesses by managing trade-offs between Students Experience/Service Levels, Employee Experience, and Cost Effectiveness. Propose and design effective data visualizations for reports, presentations and analytical products to highlight key insights, relationships among features and research findings. Communicate project results to ensure reports are created using credible qualitative and quantitative methodologies. Advise management and project stakeholders on recommended courses of action based on final model output. Evaluate effectiveness of new data sources and practicality of analytics platform. Stay abreast of current trends, analysis and research in the industry. Position may telecommute from anywhere in the U.S. 5 days per week. Annual salary: $102,000.

Minimum Requirements:

Master's degree in Computer Science, Business Analytics, Statistics, Industrial Engineering or a related

field plus 6 months of data science experience in a higher education environment with: (1) SQL programming producing read/ write/modify nested queries; (2) Data preprocessing by slicing data into

cohorts and snapshots; (3) Development and deployment of models scoring in batch or real time; (4) Batch processing of data and model results; (5) AWS Lambda, AWS Redshift, AWS SageMaker cloud environments and tools; (6) Statistical analysis tools including R, Python for machine learning, regression and tree-based models, and Ensemble methods; (7) Statistical analysis with normal distribution, confidence intervals, upper and lower control limits, and p-value; (8) Researching new tools and technologies in the market and presenting findings to leadership; (9) Applying logical reasoning skill to ad-hoc analyses; and (10) Presenting data insights to non-tech stakeholders. Experience may be gained before, during or after Master’s degree.

Interested candidates may apply online at https://uop.avature.net/careers/SearchJobs or may send resume to phoenixjobs@phoenix.edu. Reference code 272 in the subject line.

#LI-DNI

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.

Individuals in this role are eligible for:

Annual Bonus Award

Your work is critical to helping adult learners achieve their dreams, and we’re committed to rewarding you for your efforts. We offer a competitive, comprehensive total rewards package designed to help you achieve your health, financial and work-life balance goals.

Full-time employees are eligible for:

Medical, dental and vision plans; Flexible Spending Accounts; Health Savings Accounts; Life and Disability insurance; and our Wellness incentive program;

Competitive 401(k) employer match; and,

A generous time off package, including paid vacation, sick time and company holidays.*

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