{"id":148361,"url":"https://alion.io/job/leidos-transportation-data-scientist-ai-solutions","title":"Transportation Data Scientist (AI Solutions)","company":{"id":7791,"name":"Leidos","domain":"leidos.com","url":"https://alion.io/company/leidos","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":275,"ghost_share":0.004,"stale_share":0.865,"repost_share":0.011,"time_to_fill_p50_days":28,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Synthetic Data","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-30T06:31:56Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":72},"description":"Are you interested in improving and shaping the transportation industry in a group of intelligent and motivated individuals? Leidos operates the Federal Highway Administration’s (FHWA) Saxton Transportation Operations Laboratory (STOL), a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts. STOL provides a variety of services to support the advancement and deployment of emerging technologies, including vehicle automation and communication.\nLeidos is seeking a talented Transportation Data Scientist at the junior to mid-level to support FHWA-funded projects at the intersection of AI, data science, and transportation. This role will involve assisting in the development and deployment of AI/ML models for applications such as vehicle load classification using weigh-in-motion (WIM) data and imagery, crash prediction in traffic management centers (TMCs), and creating data ecosystems for trustworthy AI. The ideal candidate will have foundational experience in AI model development, data integration, and stakeholder engagement, with a passion for exploring opportunities to apply AI in state-level transportation initiatives. This position offers the chance to contribute to innovation in a dynamic, federally supported research environment.\nLocation: This role will be expected to work full-time at the customer site in McLean, VA\nCandidate MUST:\nBe currently located in the United States for the current three consecutive years and be eligible for a Public Trust Clearance.\nhttps://careers.leidos.com/search/jobs?q=stol&ns_job_category=stol-jobs\nPrimary Responsibilities\nAssist in conducting data and literature reviews, including targeted searches for AI methods, datasets, and technologies relevant to freight analytics, traffic safety, and operations (e.g., sensor fusion, computer vision, and multimodal AI).\nPrepare and integrate datasets for AI use cases, including cleaning, normalizing, enriching, and fusing multi-source data (e.g., traffic logs, imagery, weather, and permitting records) while addressing quality issues like inconsistency, sparsity, and bias.\nContribute to the design, development, and deployment of AI/ML models for transportation applications.\nEvaluate AI model performance under diverse conditions, such as varying data quality levels, and provide recommendations for improving model robustness, scalability, and trustworthiness in real-world transportation environments.\nSupport stakeholder outreach and engagement, including organizing peer exchanges, workshops, and technical briefings with state DOTs, MPOs, enforcement agencies, and vendors to gather insights on AI applications.\nCollaborate with cross-functional teams to ensure project alignment with USDOT goals, including risk management, quality assurance, and compliance with federal standards.\nContribute to monthly progress reporting, risk mitigation, and iterative model refinement based on federal feedback.\nRequired Qualifications\nMaster’s degree in computer science, Data Science, Artificial Intelligence, Transportation Engineering, or a related field; Ph.D. preferred.\n 2+ years of professional experience (NON-academic) in data science and AI/ML, with demonstrated familiarity in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), data processing tools (e.g., Pandas, NumPy), and AI techniques (e.g., deep learning, generative AI like GANs, computer vision, LLMs).\nMust have HANDS-ON experience in AI Solution Development.\n Strong experience in data preparation and integration, including ETL processes, handling multimodal data (e.g., imagery, sensor data, time-series), and addressing data quality challenges in real-world applications.\nStrong analytical skills with familiarity in model evaluation metrics (e.g., AUC, accuracy, scalability) and testing AI systems under varied conditions.\nExcellent communication and collaboration skills, with experience in stakeholder engagement, technical reporting, and presenting complex AI concepts to non-technical audiences.\n Ability to work in a fast-paced, research-oriented environment with travel up to 20% for stakeholder meetings, site visits, or conference support.\nAbility to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US).\nAll applicants must be legally authorized to work in the United States.\nPreferred Qualifications\nPrior experience working with state DOTs or federal transportation agencies (e.g., FHWA, USDOT) on AI initiatives, including prototyping and developing AI application in ITS.\nFamiliarity with transportation-specific data sources (e.g., HSIS, SHRP2, NGSIM) and standards (e.g., SAE J2735 for V2X).\nExperience in synthetic data generation, generative AI (e.g., LLMs), or physics-informed ML for transportation applications.\nKnowledge of federal AI governance, risk management, and equity considerations in transportation.\nProject management experience, including leading AI tasks in multi-agency initiatives or contributing to communities of practice (CoPs).\nPublications or presentations in AI/transportation conferences (e.g., TRB, ITS America).\nAnticipated salary range for this role is $100,000-$120,000\nIf you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.\nOriginal Posting:\nJune 26, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.\nPay Range:\nPay Range $87,100.00 - $157,450.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.","description_format":"text","description_chars":6311,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":true,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","National Security","C4ISR","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-08-18T00:00:00Z"},{"event":"close","at":"2026-09-11T09:36:24Z"},{"event":"reopen","at":"2026-10-27T02:54:53Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 50 · green card filings: 24","filings_12m":50,"filings_prev_12m":58,"green_card_filings_12m":24,"median_offered_wage_usd":124257,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.246,"p_room":0.28,"age_days":73,"expected_fill_days":28,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":120000,"is_top_pay":true},"html_url":"https://alion.io/job/leidos-transportation-data-scientist-ai-solutions","json_url":"https://alion.io/job/leidos-transportation-data-scientist-ai-solutions.json","meta":{"generated_at":"2026-10-30T08:12:09Z","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":11539,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":7791},"rest":"https://alion.io/mcp/rest/get_company?id=7791"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fleidos-transportation-data-scientist-ai-solutions"},{"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%2Fleidos-transportation-data-scientist-ai-solutions"},{"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%2Fleidos-transportation-data-scientist-ai-solutions"},{"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/leidos-transportation-data-scientist-ai-solutions\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fleidos-transportation-data-scientist-ai-solutions"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":148361}},{"tool":"search_jobs","arguments":{"company":"leidos.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":148361},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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