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    Penn State University is looking for a Data Scientist

    APPLICATION INSTRUCTIONS:

    • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday.
    • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student… application process. Please do not apply here, apply internally through Workday.
    • If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

    JOB DESCRIPTION AND POSITION REQUIREMENTS:

    The Nittany AI Alliance at The Pennsylvania State University (PSU) is looking for talented and driven PSU undergraduate students to join its Advance program as a Data Scientist, Front-end Developer, Back-end Developer, and Security. Advance interns will work on AI-related projects in an Agile software development team, collaborating with data scientists, 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. The Front-End Developer will build upon wireframes and concepts created by a UX Designer leveraging technologies such as HTML, CSS, and JavaScript. They will produce, modify, and maintain web application user interfaces. They will work with Data Scientists in back-end design, collaborating on APIs, data structure, and data integration. They will maintain software workflow, versioning, and testing during development and address any bugs. They will document all code according to common development best practices and create technical documentation of project work to facilitate knowledge sharing. The Back-End Developer 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 build and improve upon a prototype optical character recognition and natural language processing solution. The Security intern will be responsible for identifying potential vulnerabilities and recommending measures to mitigate security risks. You will also work closely with our development team to review the approach to the ML algorithm development and ensure that security considerations are integrated into the development process.

    Experience Required for Data Scientist:

    Python, TensorFlow, Infer.net or Caffe is required. Proficiency in relevant mathematics, such as linear algebra and multivariate calculus. Skilled in JavaScript or R. Knowledge of data structures and data management methods. Ability to communicate technical topics effectively to nontechnical audiences, and 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) and experience with containerization technologies such as Docker or Kubernetes is a plus.

    Experience Required for Front-end Developer:

    HTML5 and CSS is required. Proficiency in Modern JavaScript and related frameworks, Python, responsive design and CSS frameworks like Bootstrap. Experience with a code versioning tool such as GitHub, cloud computing and storage services, especially Amazon Web Services (AWS), containerization technologies such as Docker or Kubernetes and previous experience in Agile teams or collaborating with UI/UX designers and data scientists is a plus.

    Experience Required for Back-end Developer:

    Python and one or more of the following AI modeling: Natural Language Processing (NLP), Machine Learning (ML), Computer Vision (CV) concepts is required. Experience with spaCy NLP library desirable. Proficiency in Java and/or Vue framework, knowledge of data structures and data management methods, and the ability to communicate technical topics effectively to nontechnical audiences is beneficial. Experience with cloud computing and storage services, especially Amazon Web Services (AWS), is a plus.

    Experience Required for Security

    Experience with AWS cloud services including EC2, S3, IAM, and VPC. Ability to navigate and configure these services and understand how they impact security. Knowledge of Docker and its security components is important as well as cloud-based security practices, including network security, data encryption, and access controls. Ability to identify potential vulnerabilities and recommend measures to mitigate security risks. A track record of conducting security assessments for complex systems and providing actionable recommendations for improvement.

    Interviews are conducted in March for the Fall semester and October for the Spring semester. Strong consideration will be given to candidates who can present a successful project in their domain. This is a part-time position for current Penn State undergraduate students only with the ability to work 15-20 hours per week at $18.00 per hour. Possibility for the internship to extend into the following semester based on Nittany AI Alliance workload and availability of the candidate.

    The Pennsylvania State University is committed to and accountable for advancing diversity, equity, inclusion, and sustainability in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity in society and nature, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.

    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 LAW

    Penn 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 814-865-1473.

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