Operations Research Data Scientist

University of Phoenix; Phoenix (AZ); Remote; USD 98,000 - 115,000; Full time

Job summary

The University of Phoenix is seeking an Operations Research Data Scientist in Phoenix, AZ. The role involves developing analytics and statistical solutions to improve business operations. Ideal candidates will have a master's degree and experience in data science, machine learning, and statistical analysis. Opportunities for telecommuting and a competitive salary package are provided.

Qualifications

• Master's degree in a related field plus 1 year of data science experience.
• Experience in SQL, statistical analysis, and machine learning is required.
• Ability to translate business questions into quantitative analyses.

Responsibilities

• Design and develop statistical solutions for business insights.
• Collaborate with cross-functional teams on data science solutions.
• Communicate results effectively to project stakeholders.

Skills

SQL programming

Data preprocessing

Machine learning

Statistical analysis

Data visualization

Education

Master's degree in Computer Science

Master's degree in Statistics

Master's degree in Industrial Engineering

Tools

AWS Lambda

AWS Redshift

AWS SageMaker

R

Python

Job description

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Job Title: Operations Research Data Scientist

Job Description: The University of Phoenix, Inc. seeks an Operations Research Data Scientist 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.

What You’ll Do

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: $98,739.

Minimum Requirements: Master's degree in Computer Science , Statistics, Industrial Engineering or a related field plus 1 year of data science experience in a higher education environment:

• SQL programming producing read/ write/ modify nested queries .
• Data preprocessing by slicing data into cohorts and snapshots.
• Development and deployment of models scoring in real time.
• Batch processing of data and model results.
• AWS Lambda, AWS Redshift, AWS SageMaker cloud environments and tools
• Statistical analysis tools including R, Python for machine learning, regression and tree-based models, and Ensemble methods .
• Statistical analysis with normal distribution, confidence intervals, upper and lower control limits, and p-value .
• A/B Testing experience .
• Researching new tools and technologies in the market and presenting findings to leadership .
• Applying logical reasoning skill to ad-hoc analyses .
• Presenting data insights to non-tech stakeholders.
  
  

Interested candidates may apply online at https://uop.avature.net/careers/SearchJobs or may send resume to [e-mail]. Reference code 2 36 in the subject line.

University of Phoenix is an equal opportunity employer

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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Higher Education

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