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.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

​

 

 

POSITION SPECIFICS​

We are seeking a Data Scientist to be located in Honolulu HI to join our Information Advantage Office of the Applied Research Laboratory (ARL) at Penn State. You should possess deep expertise in Python, data science libraries, and visualization/BI tools to lead advanced analytics initiatives supporting mission-critical objectives. The ideal candidate brings both strong technical acumen and domain experience working with Department of Defense (DoD) and/or Intelligence Community (IC) data sources such as SIGINT, GEOINT, or other multi-INT data.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

• Design and conduct exploratory data analysis and hypothesis testing to support analytic objectives
• Develop interactive dashboards and visualizations using tools such as Power BI, Tableau, and Grafana, translating complex findings into actionable insights for senior decision-makers
• Build and optimize Python-based data pipelines leveraging libraries such as pandas, NumPy, scikit-learn, matplotlib, seaborn, and Plotly.
• Work with diverse data formats (CSV, JSON, XML, Excel, etc.) and integrate across relational (Postgres, MySQL) and NoSQL (MongoDB, Accumulo) databases
• Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured datasets
• Mentor junior data scientists and analysts, fostering best practices in statistical rigor, code quality, and reproducibility

Required skills/experience areas include:

• Python expertise (primary language) with demonstrated use of data science and machine learning libraries (e.g., scikit-learn, pandas, NumPy, SciPy, PyTorch or TensorFlow)
• Strong skills in data visualization and BI tools: Power BI, Tableau, Grafana, or equivalent
• Proficiency in SQL and experience with NoSQL databases
• Solid foundation in probability, statistics, and applied machine learning techniques
• Experience with data pipelines, APIs, and distributed systems in a production environment
• Familiarity with cloud-native and containerized environments (e.g., Kubernetes) and associat