Operations Research Data Scientist

The University of Phoenix is seeking an Operations Research Data Scientist to design, develop, and program statistical and analytical solutions that produce actionable business insights for management, planning, and optimization. This remote role is available from anywhere in the U.S. 5 days per week.

Key Responsibilities

• Design, develop, and program statistical and analytical solutions to deliver business insights for operations management, planning, and optimization, including operations strategies and student learning.
• Translate ambiguous business questions and concerns into specific quantitative questions that can be answered using available data.
• Resolve problems across business planning, management, and optimization initiatives.
• Research and develop solution products across areas including Statistical Inference/Analysis/Modeling, machine learning, natural language processing, artificial intelligence, algorithms, data mining and modeling, and big data query.
• Design, coordinate, and execute pilots or proof of concepts to assess new initiatives, technologies, and frameworks.
• Collaborate with cross-functional teams to deploy data science solutions and apply insights and recommendations generated by analytical models.
• Drive volume forecasting into planning activities to support investment decisions with finance and leadership.
• Create optimal short-term business plans by managing trade-offs among 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, feature relationships, and research findings.
• Communicate project results to support reports built using credible qualitative and quantitative methodologies.
• Advise management and project stakeholders on recommended courses of action based on final model output.
• Evaluate the effectiveness of new data sources and the practicality of an analytics platform.
• Stay current with industry trends, analysis, and research.

Required Qualifications

• 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 covering:
  • SQL programming producing read, write, and modify nested queries.
  • Data preprocessing by slicing data into cohorts and snapshots.
  • Development and deployment of models scoring in batch or real time.
  • Batch processing of data and model results.
  • AWS Lambda, AWS Redshift, and AWS SageMaker cloud environment.
• Experience may be gained before, during, or after the Master’s degree.

Technologies

• SQL
• AWS Lambda
• AWS Redshift
• AWS SageMaker
• R
• Python
• Machine learning
• Natural Language Processing
• Artificial Intelligence
• Algorithms
• Data Mining
• Big Data Query
• Ensemble methods

Compensation

USD 102,000 per year.

Benefits

• Annual bonus award.
• Medical, dental, and vision plans; Flexible Spending Accounts; Health Savings Accounts; Life and Disability insurance; and a Wellness incentive program.
• Competitive 401(k) employer match.
• Generous time off package, including paid vacation, sick time, and company holidays.

Additional Information

• Location: US-AZ - Phoenix
• Position Type: Full Time
• Virtual Eligible: Yes
• Job Category: Administration
• Ref #: 7576
• Eligible for: Annual Bonus Award