{"id":1970977,"url":"https://alion.io/job/peraton-data-scientist-5","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":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","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":104000,"max":166000,"currency":"USD","period":"year","gross":null,"usd_annual":166000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Delta Lake","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Neo4j","optional":true},{"name":"PyTorch","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-06T19:18:09Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-09T03:08:47Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Responsibilities\nPeraton is seeking a Data Scientist to support the design, development, and deployment of analytical and machine learning components used in customer-facing products and internal proofs of concept (POCs). This role is ideal for someone who can operate independently, learn quickly, and contribute to a fast-paced, exploratory development environment.\nIn this role, you will:\nLead end-to-end analytical solution development, from data exploration through model deployment and performance optimization.\nDirect complex exploratory data analysis (EDA), identifying actionable insights, data-quality risks, and opportunities for new features or modeling approaches.\nArchitect and implement advanced statistical and machine learning models, including classical, ensemble-based, and deep learning techniques where appropriate.\nDesign scalable, production-grade feature engineering pipelines and data processing workflows.\nDevelop robust prototype data pipelines and collaborate with engineering teams to harden them for production.\nEstablish modeling best practices, coding standards, validation frameworks, and experiment-tracking methodologies.\nEvaluate emerging techniques, libraries, platforms, and architectures to enhance model performance and product capabilities.\nCreate compelling analytical visualizations and presentations for technical and non-technical stakeholders, translating complex concepts into actionable recommendations.\nWork closely with product managers, engineers, and architects to refine POC concepts, define experiment plans, and integrate analytics into broader product designs.\nParticipate in code reviews, knowledge-sharing, and cross-functional collaboration\nQualifications\nBasic Qualifications:\n5 years with BS/BA; 3 years with MS/MA; 0 years with PhD\nProficiency in Python and common data science libraries (Pandas, NumPy, SciKit-Learn, Matplotlib/Seaborn).\nStrong SQL skills and experience with relational or cloud-based data warehouses.\nUnderstanding of statistical analysis, supervised/unsupervised learning, model evaluation, and feature engineering.\nExperience working with structured and unstructured data, ETL/ELT logic, and basic data-pipeline development.\nFamiliarity with cloud or containerized environments (AWS, Azure, Databricks, or Docker).\nAbility to build and iterate on ML pipelines, including versioning, reproducibility, and CI/CD concepts (e.g., MLflow, SageMaker Pipelines).\nSkill in producing clear, interpretable, and effective data visualizations.\nComfortable working through ambiguous or exploratory analytical problems and communicating recommendations clearly.\nExcellent written and verbal communication skills, including stakeholder-facing presentations.\nUS Citizenship is required.\nMust have the ability to obtain and maintain a Public Trust clearance.\nPreferred Qualifications:\nDatabricks experience (Spark, Delta Lake, MLflow)\nSnowflake\nAmazon SageMaker\nGraph databases (e.g., Neo4j)\nDeep learning frameworks (PyTorch, TensorFlow)\nExperience with knowledge graphs or graph-based feature engineering\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$104,000 - $166,000. 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":4545,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","National Security","Homeland Security"],"lifecycle":[{"event":"open","at":"2026-10-06T19:18:09Z"}],"visa":[],"liveness":{"score":95,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.954,"p_room":1,"age_days":1,"expected_fill_days":6,"reasons":["conf:2","wave","velocity","win:early","comp:brand"],"computed_at":"2026-10-08T05:49:30Z"},"pay":{"stated_usd_annual":166000,"is_top_pay":true},"html_url":"https://alion.io/job/peraton-data-scientist-5","json_url":"https://alion.io/job/peraton-data-scientist-5.json","meta":{"generated_at":"2026-10-09T03:17:08Z","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","counted_by":"address","units_charged":1,"used_today":1785,"day_limit":5000,"remaining_today":3215,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"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-5"},{"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-5"},{"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-5"},{"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-5\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fperaton-data-scientist-5"}]}