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Requisition ID:  13972

Senior Research Data Scientist

Job Summary

Purdue University’s Research Computing department is committed to promoting and advancing all forms of diversity, equity, inclusion and access (DEIA) to create an environment and culture where the uniqueness of individuals is celebrated and persons from all backgrounds can thrive.


Purdue’s Research Computing department provides access to leading-edge computational and data storage systems as well as expertise in a broad range of high-performance computing activities. To fulfill our mission, we:

  • provide advanced computational resources and services to support Purdue faculty and staff researchers 
  • evaluate, deploy, and support hardware and software for large-scale scientific computing
  • promote the effective use of our research computing systems and application software through training and education, consultation, and documentation
  • contribute to the discovery process through algorithm design and development of effective computing techniques

 

To learn more about Research Computing's current projects please visit https://www.rcac.purdue.edu/anvil/ and https://www.rcac.purdue.edu/compute/geddes/


As the Senior Research Data Scientist you will be an integral part of our research-facing support team. You will be responsible for evaluating ‎and implementing new ‎data analytics and machine learning algorithms on large-scale research computing systems and providing the researchers with the data science and artificial intelligence (AI) expertise needed to address questions raised by cutting edge research. You will utilize creativity and innovation to solve data bottleneck raised by researchers. You will also work collaboratively with other staff, ‎campus researchers, national partners and vendors to implement novel data or AI technologies. Additionally, you will diagnose a wide range of data or AI problems; ‎design, code, test, debug, install, document and maintain complex data analytics and machine learning tools. You will conduct regular training workshops for researchers on data analytics and AI/ML tools. Finally, you will participate in national computing activities by attending workshops, conferences, and potentially presenting research.


Purdue University offers a substantial benefits package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days. 

 

This posting represents two vacancies.

Required:

  • Master in Data Science, Statistics, Computer Science, one of the natural sciences, or other related research field with a background in data analysis, algorithms, and software development
  • Two years of experience in one of the following:
    • implementing and supporting machine learning or data analytics applications or workflows on large scale research computing system
    • using higher-level languages such as Python, R, and Matlab
  • In lieu of degree, consideration will be given to an equivalent combination of education and experience
  • Ability to work on a diverse team
  • Knowledge of Linux operating system
  • Knowledge of scripting languages, i.e. Shell
  • Knowledge of version control software, i.e. GIT
  • Ability to plan, organize and prioritize tasks, and complete projects with minimal supervision


Preferred:

  • PhD
  • Knowledge of commercial and public domain software packages and tools 
  • Good verbal and written English communication skills including the ability to ‎consult with researchers, make presentations, develop and present training material, and ‎develop ‎documentation

 

Additional Information:

  • Purdue will not sponsor employment authorization for this position  
  • A background check will be required for employment in this position
  • FLSA: Exempt (Not Eligible For Overtime)
  • Retirement Eligibility:  Defined Contribution Waiting Period
  • Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply


Nearest Major Market: Lafayette

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