Data Scientist

Penn State University

Hawaii

On-site

USD 86,300 - 129,500

Full time

14 days+

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Benefits offered by this job

75% tuition discount for employees and eligible family members
Comprehensive medical, dental, and vision coverage
Robust retirement plans
Substantial paid time off
Competitive salary range

Job summary

A prestigious educational institution in Hawaii is seeking a Data Scientist to join their Information Advantage Office. The ideal candidate will have expertise in Python and data science libraries, with responsibilities including developing dashboards and conducting data analysis for mission-critical objectives. This position requires a Master's degree and 6+ years of experience, along with the ability to obtain a government security clearance.

Qualifications

  • 6+ years of relevant experience in data science.
  • Demonstrated use of data science libraries such as scikit-learn.
  • Experience with configuration management and version control tools.

Responsibilities

  • Conduct exploratory data analysis to support analytic objectives.
  • Develop interactive dashboards translating complex findings.
  • Mentor junior data scientists and analysts.

Skills

Python expertise
Data visualization with Power BI
SQL proficiency
Machine learning techniques
NoSQL databases
Statistical modeling
Data pipelines and APIs

Education

Master's Degree

Tools

Power BI
Tableau
Grafana
Python libraries (pandas, NumPy, scikit-learn)
Kubernetes

Job description

# **APPLICATION INSTRUCTIONS:*** ## CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please to complete the. Please do not apply here, apply internally through Workday.* ## If you are NOT a current employee or student, please click “Apply” and complete .### **Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see .**### **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**. This position may be filled as a Senior Data Scientist.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 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 preferredYour 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 Degree6+ years of relevant experience; or an equivalent combination of education and experience acceptedRequired 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 www.arl.psu.edu. **BACKGROUND CHECKS/CLEARANCES**Employment with the University will require successful completion of background check(s) in accordance with University policies.### All positions at ARL require candidates to possess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen. **SALARY & BENEFITS**The salary range for this position, including all possible grades, is $86,300.00 - $129,500.00.\*\*THE PROPOSED SALARY RANGE MAY BE IMPACTED BY GEOGRAPHIC DIFFERENTIAL\*\* - 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 .**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 .**EEO IS THE LAW**Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, 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.## CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please to complete the Please do not apply here, apply internally through Workday.
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