Part-time Faculty, Ph.D. Data Science

Remote, California, United States

National University

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Position Summary

The Department of Engineering, Data, and Computer Sciences, in the College of Business, Engineering, and Technology at the National University invites applications for part-time faculty in Data Science. The successful candidate will have a demonstrated record of or potential for excellence in teaching in their field and a commitment to serving the university’s diverse adult student body. The successful candidate will have the potential for a commitment to serving the university’s diverse adult student body. This position primarily works closely with the Academic Program Director and other faculty within the program and contributes to ensuring program quality, student engagement, and success.

Location: Remote

Essential Job Duties:

  • Provide substantive, timely feedback to students on various assessment activities.
  • Maintain a positive, safe, inclusive student-centric learning environment.
  • Complete required tasks on deadlines (e.g., final grades, assessment, grading rubrics, input for grade appeals, etc.)
  • Maintain appropriate professional training and/or scholarly activities, when applicable.
  • Provide feedback to the course lead regarding the course content.
  • Identify at-risk students and collaborate with student services.

Qualifications:

  • Doctorate in Data Science, Engineering, Computer Science, Statistics or related field required
  • 2+ years of practical or research experience in building Machine Learning or Deep learning models in Python, and/or R programming required
  • 2+ years of research or practical experience in the field of Data Science or Data Analytics required.
  • 1+ years of teaching experience in data science, Data Analytics or Data engineering preferred.
  • Experience serving on doctorate dissertation committees preferred
  • Experience is preferred in:
    • Tensorflow, Pytorch, Keras
    • AutoML, and AWS SageMaker
    • Predictive Analytics and forecasting in different disciplines
  • Experience with online teaching in higher education with working adults, preferred
  • Must reside and be eligible to work in the United States

For full consideration, interested candidates should provide the following:

  • A cover letter.
  • A curriculum vita.
  • Statement of teaching experience online and/or onsite for a diverse student body.

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Compensation Range:

Hourly: $26.63 - $28.89

Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate’s qualifications, skills, and competencies.  Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University’s total rewards package, as we are dedicated to supporting the needs of the “whole you” with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family.  For full details about our benefit plan offerings, please visit benefits.nu.edu. For part-time positions, please click here.

National University offers an opportunity to work in an innovative environment that supports diversity.

National University (NU) is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a diverse mix of highly talented, innovative, and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University. We are focused on equality and believe deeply in diversity of race, color, ancestry, age, family care status, veteran status, marital status, creed, religion, sex, gender, sexual orientation, religion, ethnicity, national origin, and other legally protected group status.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Computer Science Data Analytics Deep Learning Engineering Keras Machine Learning Python PyTorch R Research SageMaker Statistics Teaching TensorFlow

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States

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