{"id":1367195,"url":"https://alion.io/job/vessel-inc-data-scientist","title":"Data Scientist","company":{"id":1795628,"name":"Vessel Inc","domain":"eagle.org","url":"https://alion.io/company/eagle-org","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":224000,"period":"year","method":"role_country_seniority_unknown","sample_n":2064},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-18T21:57:26Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-01T04:07:12Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"ABS Group is seeking a Data Scientist to join our Artificial Intelligence Practice in support of a major federal modernization program. In this role, you will apply machine learning, statistical analysis, and modern AI techniques to large, complex datasets that support mission-critical planning and operations.\nYou will work alongside data scientists, engineers, and client stakeholders to build analytical solutions that improve data quality, support decision-making, and help move advanced analytics from prototype to operational use. The scope of responsibility, degree of technical leadership, and level of independence expected will reflect the level at which this position is filled.\nWhat You Will Do:\nAnalyze large and complex datasets using statistical methods, machine learning, and AI techniques\n\nBuild, test, and maintain predictive models and analytical workflows\n\nApply methods such as machine learning, deep learning, NLP, generative AI, large language models, and time series analysis to mission-focused data problems\n\nSupport feature engineering, data preparation, model evaluation, and reproducible analytical development\n\nHelp transition analytics and machine learning capabilities from pilot efforts into production environments\n\nContribute to synthetic data development and other advanced analytical methods where appropriate\n\nPartner with engineers and stakeholders to translate business needs into practical analytical solutions\n\nPrepare technical documentation, reports, presentations, and other project deliverables\n\nSupport responsible AI practices, including explainability, trustworthiness, and AI risk management\n\nWhat You Will Need:\nLevel and Compensation: This position may be filled at multiple career levels based on business needand the selected candidate's qualifications, relevant experience, and demonstrated capability. Typical leveling for this role is as follows:\nJunior (0 to 4 years)\nMid-Level (5 to 9 years)\nSenior (10 to 14 years)\nPrincipal (15 or more years)\nThese ranges are guidelines only and are not the sole determining factor in level. The posted compensation range reflects the full range across all possible levels. Individual offers will be based on the level at which the candidate is hired, as well as factors such as skills, experience, internal equity, and geographic market considerations where applicable.\nEducation and Experience\nBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related STEM field; Master'sdegree preferred\n\nRelevant professional experience applying data science, machine learning, or advanced analytics; the depth and scope of experience required will vary based on the level at which this position is filled\n\nExperience working with large, real-world datasets across the full analytical lifecycle preferred\n\nExperience supporting production or operational deployment of analytical or machine learning solutions a plus\n\nKnowledge, Skills, and Abilities\nProficiency in Python and working knowledge of SQL\n\nExperience with machine learning, predictive modeling, model evaluation, and feature engineering\n\nFamiliarity with NLP, GenAI, and LLM methods\n\nFamiliarity with deep learning, neural networks, anomaly detection, and time series methods\n\nStrong communication skills, including the ability to explain technical findings clearly to varied audiences\n\nAbility to develop reproducible analytical workflows and clear technical documentation\n\nNice to Have:\n\nExperience in a federal, public sector, or regulated data environment\n\nFamiliarity with survey, demographic, statistical, or population-scale data\n\nExposure to record linkage, entity resolution, or matching models\n\nExperience with synthetic data, differential privacy, or responsible AI practices\n\nReporting Relationships:\nReports directly to the Chief Data Scientist or a Manager, Director, or Executive role.\nLocation \nThis position is based in the Washington, D.C. metro area, with primary work performed in Suitland, Maryland. Remote or hybrid arrangements may be available for eligible work, subject to government approval.","description_format":"text","description_chars":4109,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Energy & Utilities","Professional Services"],"lifecycle":[{"event":"open","at":"2026-09-28T02:48:35Z"}],"liveness":{"score":69,"band":"ok","label":"Likely open","p_open":1,"p_active":0.771,"p_room":0.9,"age_days":12,"expected_fill_days":21,"reasons":["conf:1","velocity","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vessel-inc-data-scientist","json_url":"https://alion.io/job/vessel-inc-data-scientist.json","meta":{"generated_at":"2026-10-01T09:36:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":284,"day_limit":5000,"remaining_today":4716,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}