Data Scientist

Penn State Policies
Honolulu, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 182K

Job location

Remote
Honolulu, United States of America

Tech stack

Microsoft Excel
Apache Accumulo
API
Data analysis
Cloud Engineering
Configuration Management
Software Quality
Signals Intelligence
Computer Security
Databases
Data Mining
Data Visualization
Distributed Systems
Geospatial Intelligence
Github
Revision Control Systems
Statistical Hypothesis Testing
Intelligence Analysis
JSON
Python
PostgreSQL
Machine Learning
MongoDB
MySQL
NoSQL
NumPy
Power BI
TensorFlow
SciPy
Tableau
XML
PyTorch
Grafana
Gitlab
GIT
Pandas
Matplotlib
Containerization
Scikit Learn
Kubernetes
Atlassian Tools
Plotly
Data Pipelines

Job description

  • 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

Requirements

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. This position may be filled as a Senior Data Scientist., * 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 associated observability stacks
  • Hands-on experience with configuration management and version control tools (e.g., Git, GitLab/GitHub, Atlassian suite)
  • Active Top Secret DoD Clearance
  • Excellent interpersonal, communication, and presentation skills-able to brief senior leadership and mission partners
  • Strong organizational skills with the ability to prioritize and manage multiple projects
  • Collaborative mindset with demonstrated ability to lead technical discussions and mentor peers
  • Customer-focused, adaptable, and effective in interfacing with both corporate and government stakeholders
  • Exceptional technical writing skills for producing plans, reports, and documentation

Preferred skills/experience areas include:

  • Direct experience with DoD or Intelligence Community data, including but not limited to SIGINT, GEOINT, MASINT, or Multi-INT fusion
  • Understanding of mission needs in defense, national security, or intelligence analysis
  • Active TS/SCI DoD clearance highly preferred

Your working location will be in Oahu, HI. Questions related to flexible work should be directed to the hiring manager during the interview process.

MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

Master's Degree 6+ years of relevant experience; or an equivalent combination of education and experience accepted Required Certifications: None

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).FOR FURTHER INFORMATION on ARL, visit our web site at .

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

Notice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.

Benefits & conditions

The salary range for this position, including all possible grades, is $110,520.00 - $182,400.00. This salary range includes an adjustment based on required geographic work location.

Salary Structure - Information on Penn State's salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page .

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