{"id":1792883,"url":"https://alion.io/job/lmi-data-scientistdata-science-lead","title":"Data Scientist/Data Science Lead","company":{"id":721749,"name":"LMI","domain":"lmisolutions.com","url":"https://alion.io/company/lmisolutions","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tysons, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":145000,"currency":"USD","period":"year","gross":null,"usd_annual":145000},"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-03T17:58:38Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-06T20:33:13Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Overview\nLMI is seeking a Data Scientist / Data Science Lead to provide hands-on analytical leadership across Department of Veterans Affairs (VA) modernization initiatives. The role combines advanced analytics, statistical and machine-learning methods, data-quality rigor, analytical coding, technical review, and decision support for complex mission and operational questions.\nThis position follows a hybrid work model, with an expectation of approximately 25% onsite presence at LMI’s Tysons headquarters or Washington, DC.\nThe Data Scientist / Data Science Lead is expected to be a working technical leader, not solely a reviewer. The person should be able to inspect raw data, write code, test assumptions, choose appropriate methods, and step into difficult analytical problems while also setting standards that improve the quality and reproducibility of the broader team.\nThe strongest candidate will combine statistical judgment with practical mission orientation. This means understanding when sophisticated methods are justified, when simpler approaches are more defensible, how data limitations affect conclusions, and how to connect analytical results to operational or clinical decisions.\nThe lead will also be responsible for raising the analytical capability of the team. This includes setting expectations for peer review, helping staff choose appropriate methods, identifying when a question requires deeper expertise, and creating a culture where limitations and negative findings are reported as clearly as positive results.\nThe ideal candidate combines strong statistical coding with practical data-quality rigor and can explain evidence, uncertainty, bias, missingness, and limitations to technical, operational, clinical, and executive audiences.\nLMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.\nLeveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.\nResponsibilities\nLead analytical strategy for complex operational, clinical, workflow, and technology questions.\nAssess data readiness, quality, sensitivity, lineage, authoritative sources, and fitness for intended measures.\nDevelop and review statistical models, machine-learning methods, exploratory analyses, and AI/LLM evaluations.\nDesign reporting-ready data models, transformations, validation logic, and analytical pipelines.\nPerform hands-on Python/SQL analysis and troubleshoot difficult data or modeling issues.\nPartner with clinical and evaluation staff on baselines, denominators, comparisons, outcomes, and evidence limitations.\nCommunicate uncertainty, data-quality issues, bias, and causal limitations clearly to decision-makers.\nCoach analysts and establish reusable analytics, validation, and peer-review practices.\nEstablish analytical standards for reproducibility, peer review, validation, documentation, version control, data-quality checks, and transparent communication of assumptions and limitations.\nLead feature definition, model selection, validation strategy, error analysis, sensitivity testing, bias/fairness assessment, and interpretation for advanced analytical or machine-learning work.\nCreate reusable notebooks, code patterns, analytical templates, and quality checks that accelerate future work while improving consistency across analysts and data scientists.\nCoordinate with engineering and platform resources on model or analytical handoff, including data pipelines, monitoring requirements, performance expectations, and maintainability considerations.\nLead technical reviews of analytical plans and results, ensuring the method, data, validation, assumptions, and interpretation are aligned to the decision the customer needs to make.\nPartner with data owners and governance stakeholders to improve data definitions, provenance, access patterns, quality expectations, and responsible use when recurring analytical work exposes systemic data issues.\nQualifications\nBachelor's degree in data science, statistics, mathematics, computer science, operations research, economics, engineering, public health, or a related quantitative field.\n7+ years in data science, advanced analytics, machine learning, statistical analysis, or related work.\nStrong hands-on Python and SQL skills with demonstrated statistical modeling, validation, and complex-data interpretation experience.\nExperience translating ambiguous business, operational, or clinical questions into defensible analytical methods and decision products.\nRecommended certification: cloud data science/ML, analytics, or data-platform credential from Microsoft/Azure, AWS, Google Cloud, Databricks, or comparable provider.\nAbility to satisfy VA personnel vetting and requirements for sensitive or regulated data.\nStrong statistical foundation covering regression, classification, sampling, validation, uncertainty, experimental or quasi-experimental reasoning, and appropriate interpretation of observational data.\nDemonstrated ability to work with large, messy, multi-source datasets and independently diagnose data-quality, missingness, leakage, representativeness, and lineage concerns before modeling.\nTechnical leadership experience reviewing others' analytical work, mentoring staff, setting coding and validation standards, and explaining complex findings to senior non-technical stakeholders.\nExperience owning analytical work from problem formulation through data acquisition, modeling, validation, interpretation, executive communication, and transition to recurring or operational use.\nStrong written and verbal communication skills for explaining statistical concepts, uncertainty, model behavior, and data limitations without either oversimplifying or overwhelming the audience.\nDesired Qualifications\n9+ years in applied data science or analytics, including federal health, healthcare, regulated data, or enterprise modernization. \nAdvanced degree in statistics, data science, operations research, public health, computer science, or a related quantitative discipline.\nExperience with NLP, generative AI/LLMs, causal inference, time-series, predictive modeling, Databricks, Snowflake, or Power BI.\nAdditional advanced cloud ML, Databricks, analytics, or data-engineering certification is preferred.\nExperience operationalizing analytics or machine-learning work through repeatable pipelines, model monitoring, MLOps practices, or collaboration with production engineering teams is preferred.\nAdvanced certifications in Azure/AWS/Google machine learning, Databricks, data science, or analytics are valuable when paired with demonstrated statistical depth.\nExperience in healthcare, federal health, clinical analytics, operations research, or other domains where data quality and context materially affect decision interpretation is preferred.\nEvidence of technical leadership through publications, conference presentations, internal standards, mentoring, peer review, or leadership of complex analytical work can strengthen a candidate profile.\nTarget salary range: $110,000-$145,000\n Disclaimer:The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.\nJob Locations\nUS-VA-Tysons US-DC-Washington, DC","description_format":"text","description_chars":8059,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Military","LLM & Generative AI","Creative Agencies"],"lifecycle":[{"event":"open","at":"2026-10-03T17:58:38Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":9,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-06T05:45:30Z"},"pay":{"stated_usd_annual":145000,"is_top_pay":false},"html_url":"https://alion.io/job/lmi-data-scientistdata-science-lead","json_url":"https://alion.io/job/lmi-data-scientistdata-science-lead.json","meta":{"generated_at":"2026-10-06T23:21:14Z","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":4653,"day_limit":5000,"remaining_today":347,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"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":721749},"rest":"https://alion.io/mcp/rest/get_company?id=721749"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flmi-data-scientistdata-science-lead"},{"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%2Flmi-data-scientistdata-science-lead"},{"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%2Flmi-data-scientistdata-science-lead"},{"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/lmi-data-scientistdata-science-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flmi-data-scientistdata-science-lead"}]}