{"id":1118022,"url":"https://alion.io/job/peraton-data-scientist-2","title":"Data Scientist","company":{"id":722,"name":"Peraton","domain":"peraton.com","url":"https://alion.io/company/peraton","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Herndon, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":66000,"max":106000,"currency":"USD","period":"year","gross":null,"usd_annual":106000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Context Engineering","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Grafana","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Plotly","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Superset","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-22T17:33:15Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-16T17:22:55Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Responsibilities\nPeraton Labs is seeking a Data Scientist to support the BNATCS CTO Advanced Analytics and Digital Command Center teams by transforming complex workstream, program, schedule, requirements, and operational data into trusted metrics, analytical insights, and decision-support products.\nThis role will support the analytics foundation behind the Digital Command Center (DCC) by helping interpret, model, visualize, and operationalize complex workstream data. You will work closely with CTO leadership and mission stakeholders to transform raw and evolving program data into actionable insights, dashboards, metrics, and analytics products that support FAA modernization objectives.\nThe ideal candidate for this role brings strong analytical judgment, cognitive flexibility, hands-on comfort with data, and the ability to understand both the technical structure of data and the operational meaning behind it. Candidates for this role should be able to analyze, reason, and communicate well enough to contribute to analytics workflows, dashboard logic, data validation, and integration activities supporting the consolidated data environment that feeds the program’s agentic AI engine.\nExperience with FAA, NAS, Aviation, air traffic operations, transportation, safety-critical systems, or large-scale modernization data is highly relevant to this position.\nKey responsibilities may include, but are not limited to:\nAnalyze workstream, requirements, IMS, schedule, risk, operational, and program data to identify trends, dependencies, gaps, anomalies, and decision-relevant insights\nDefine operational metrics, KPIs, analytical logic, thresholds, and decision-support views for Digital Command Center dashboards and advanced analytics products\nAssess the quality, completeness, consistency, and usability of data made available through enterprise data repositories\nPartner with data architects and data engineers to identify data gaps, transformation needs, metadata requirements, and analytics-readiness issues\nSupport ai-enabled analytics workflows by helping define trusted data inputs, context, validation criteria, and human-in-the-loop review considerations\nDevelop notebooks, scripts, SQL queries, statistical analyses, models, and reusable analytical artifacts to support data exploration and decision-making\nTranslate ambiguous operational questions into structured analysis, measurable metrics, and clear recommendations\nCommunicate assumptions, limitations, findings, and implications to technical teams, program leadership, and mission stakeholders\nQualifications\nRequired Qualifications\n2+ years of experience with a BS/BA, 0+ years with a MS/MA in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Information Systems, Analytics, or a related technical discipline\nExperience analyzing complex structured, semi-structured, operational, program, or business datasets to support decision-making\nProficiency with Python, R, SQL, or similar analytical tools, with the ability to develop notebooks, scripts, queries, and reusable analysis artifacts\nExperience with exploratory data analysis, data cleaning, statistical analysis, trend analysis, anomaly detection, forecasting, classification, clustering, or predictive modeling\nExperience defining or supporting metrics, KPIs, dashboards, reports, or decision-support products\nAbility to assess data quality, completeness, consistency, and analytical usefulness\nAbility to translate ambiguous operational and stakeholder questions into structured analyses and measurable outputs\nUS Citizenship and the ability to obtain an FAA Public Trust clearance\nDesired Additional Qualifications \nExperience supporting FAA, aviation, NAS, air traffic management, transportation, defense, logistics, infrastructure, command center, risk, or other complex operational environments \nExperience with cloud-based data environments, especially AWS, Glue, Athena, Redshift, SageMaker, Databricks, Snowflake, or similar \nExperience working with data lakes, data warehouses, lakehouse environments, or multi-source data integration environments \nExperience with dashboarding or visualization tools such as Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, or similar platforms \nFamiliarity with LLMs, agentic AI systems, retrieval-augmented generation (RAG), prompt/context engineering, AI-enabled workflows, or model/output evaluation \nExperience supporting human-in-the-loop analytics, AI output validation, data quality frameworks, or decision-support governance \nExperience working with requirements data, schedule data, risk data, dependency data, operational performance data, or program execution data \nFamiliarity with APIs, JSON, Parquet, data pipelines, ETL/ELT concepts, metadata, lineage, or data governance concepts \nExperience contributing lightweight code to dashboards, data workflows, APIs, or analytics applications \nPeraton Overview\nPeraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.\nTarget Salary Range\n$66,000 - $106,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEO\nEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.","description_format":"text","description_chars":6400,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","Homeland Security"],"lifecycle":[{"event":"open","at":"2026-09-22T17:33:15Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.362,"p_room":0.35,"age_days":23,"expected_fill_days":7,"reasons":["conf:2","wave","velocity","win:tail","comp:junior,brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":106000,"is_top_pay":false},"html_url":"https://alion.io/job/peraton-data-scientist-2","json_url":"https://alion.io/job/peraton-data-scientist-2.json","meta":{"generated_at":"2026-10-16T18:58:12Z","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":4386,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":722},"rest":"https://alion.io/mcp/rest/get_company?id=722"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fperaton-data-scientist-2"},{"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%2Fperaton-data-scientist-2"},{"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%2Fperaton-data-scientist-2"},{"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/peraton-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fperaton-data-scientist-2"}]}