Artificial Intelligence (AI) Advance - Data Scientist

Company: The Pennsylvania State University
Location: University Park, Pennsylvania, United States
Type: Full-time
Posted: 20.JUL.2021

Summary

CURRENT EMPLOYEES OR STUDENTS:If you are a current employee (faculty, staff, technical service, or student) at Penn State, please login to W...

Description

CURRENT EMPLOYEES OR STUDENTS:If you are a current employee (faculty, staff, technical service, or student) at Penn State, please login to Workday to complete the internal application process. If you are a current student at Penn State and seeking employment with Penn State, please login to Workday to complete the student application process.JOB DESCRIPTION AND POSITION REQUIREMENTS:The Nittany Artificial Intelligence (AI) Alliance at The Pennsylvania State University (PSU) is looking for a talented and driven undergraduate student to join its Nittany AI Advance program for the Fall 2021 semester as a part-time Data Scientist. The Data Scientist intern will work on AI-related projects in an Agile software development team, collaborating with software developers, a scrum master, and product owners, gaining hands-on experience that enhances their learning and marketability. Selected candidates will assist with the creation of prototypes leveraging artificial intelligence and drive the design of related cognitive modules. Specifically, the Data Scientist will research state-of-the-art algorithms in machine learning to identify viable project approaches, design prototypes that connect data sources to a concrete use case and develop code to test the efficacy and efficiency of algorithms against real-world data. We are currently looking for Data Scientists to fill our Fall 2021 project teams. Strong consideration will be given to candidates who can present a successful project in machine learning that demonstrates the ability to create and train a model, demonstrating data preparation, advanced analysis, and useful outputs. Proficiency in Python is required; Experience with machine learning libraries such as TensorFlow, Infer.net or Caffe is required; Proficiency in relevant mathematics, such as linear algebra and multivariate calculus, is significantly beneficial; Skill in another language such as JavaScript or R is beneficial; Knowledge of data structures and data management methods is beneficial; Ability to communicate technical topics effectively to nontechnical audiences is beneficial; Ability to interpret and apply technical papers and articles in research journals is beneficial. Experience with cloud computing and storage services, especially Amazon Web Services (AWS), is a plus; Experience with containerization technologies such as Docker or Kubernetes is a plus. This is a part-time position working 15-20 hours per week at $15.00 per hour from the start of the PSU Fall 2021 semester through the end of Decenber 2021. The Associates program has been designed to provide internship credit for most PSU colleges. Possibility for internship to extend into Spring semester based on Nittany AI Alliance workload and availability of the candidate.CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.Employment with the University will require successful completion of background check(s) in accordance with University policies.EEO is the LawPenn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applications without regards to race, color, religion, age, sex, sexual orientation, gender identify, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact .Affirmative ActionPenn State PoliciesCopyright InformationHotlinesUniversity Park, PA

 
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