{"id":171234,"url":"https://alion.io/job/psu-data-scientist","title":"Data Scientist","company":{"id":37673,"name":"Pennsylvania State University","domain":"psu.edu","url":"https://alion.io/company/psu-edu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":757,"ghost_share":0.388,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110520,"max":182400,"currency":"USD","period":"year","gross":null,"usd_annual":182400},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"MySQL","optional":false},{"name":"NumPy","optional":false},{"name":"Plotly","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-07-07T00:00:00Z","employer_posted_date":"2026-07-07","last_verified_at":"2026-10-22T08:08:16Z","board_verified":true,"closed_at":null,"days_open":109,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":108},"description":"APPLICATION INSTRUCTIONS:\nCURRENT 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. \n\nCURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, pleaselogin to Workday to complete thestudent application process. Please do not apply here, apply internally through Workday.\n\nIf you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.\n\nApproval 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.\nPOSITION SPECIFICS\nWe 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.\nARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.\nYou will:\nDesign and conduct exploratory data analysis and hypothesis testing to support analytic objectives\nDevelop interactive dashboards and visualizations using tools such as Power BI, Tableau, and Grafana, translating complex findings into actionable insights for senior decision-makers\nBuild and optimize Python-based data pipelines leveraging libraries such as pandas, NumPy, scikit-learn, matplotlib, seaborn, and Plotly.\nWork with diverse data formats (CSV, JSON, XML, Excel, etc.) and integrate across relational (Postgres, MySQL) and NoSQL (MongoDB, Accumulo) databases\nApply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured datasets\nMentor junior data scientists and analysts, fostering best practices in statistical rigor, code quality, and reproducibility\nRequired skills/experience areas include:\n Python expertise (primary language) with demonstrated use of data science and machine learning libraries (e.g., scikit-learn, pandas, NumPy, SciPy, PyTorch or TensorFlow)\nStrong skills in data visualization and BI tools: Power BI, Tableau, Grafana, or equivalent\nProficiency in SQL and experience with NoSQL databases\nSolid foundation in probability, statistics, and applied machine learning techniques\nExperience with data pipelines, APIs, and distributed systems in a production environment\nFamiliarity with cloud-native and containerized environments (e.g., Kubernetes) and associated observability stacks\nHands-on experience with configuration management and version control tools (e.g., Git, GitLab/GitHub, Atlassian suite)\nActive Top Secret DoD Clearance\nExcellent interpersonal, communication, and presentation skills-able to brief senior leadership and mission partners\nStrong organizational skills with the ability to prioritize and manage multiple projects\nCollaborative mindset with demonstrated ability to lead technical discussions and mentor peers\nCustomer-focused, adaptable, and effective in interfacing with both corporate and government stakeholders\nExceptional technical writing skills for producing plans, reports, and documentation\nPreferred skills/experience areas include:\nDirect experience with DoD or Intelligence Community data, including but not limited to SIGINT, GEOINT, MASINT, or Multi-INT fusion\nUnderstanding of mission needs in defense, national security, or intelligence analysis\nActive TS/SCI DoD clearance highly preferred\nYour working location will be in Oahu, HI. Questions related to flexible work should be directed to the hiring manager during the interview process.\nMINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS\nMaster's Degree\n6+ years of relevant experience; or an equivalent combination of education and experience accepted\nRequired Certifications:\nNoneARL’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).\nFOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu.\nBACKGROUND CHECKS/CLEARANCES\nEmployment 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):\nEmployees 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.SALARY & BENEFITS\nThe 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\nPenn 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.\nCAMPUS SECURITY CRIME STATISTICS\nPursuant 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.\nEEO IS THE LAW\nPenn 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.\nFederal Contractors Labor Law Poster\nPA State Labor Law Poster\nPenn State Policies\nCopyright Information\nHotlines","description_format":"text","description_chars":7144,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":true,"languages":[]},"benefits":["DoD SkillBridge","Flexible schedule","Hybrid work","Retirement plans","Veteran hiring program"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology","Education","Science & Engineering","STEM Education"],"lifecycle":[{"event":"open","at":"2026-08-30T00:36:16Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.571,"p_room":0.28,"age_days":108,"expected_fill_days":38,"reasons":["conf:21","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":182400,"is_top_pay":true},"html_url":"https://alion.io/job/psu-data-scientist","json_url":"https://alion.io/job/psu-data-scientist.json","meta":{"generated_at":"2026-10-24T01:04:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1736,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":37673},"rest":"https://alion.io/mcp/rest/get_company?id=37673"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpsu-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpsu-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpsu-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/psu-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpsu-data-scientist"}]}