{"id":3262197,"url":"https://alion.io/job/lmi-dataverse-data-science-lead-cbp","title":"Dataverse / Data Science Lead (CBP)","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":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0.333,"time_to_fill_p50_days":17,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":111209,"max":180317,"currency":"USD","period":"year","gross":null,"usd_annual":180317},"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":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-26T06:18:34Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-02T18:51:49Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Overview\nLMI is seeking a Dataverse/Data Science Lead join a multidisciplinary team supporting the Department of Homeland Security (DHS) Customs and Border Protection (CBP) Program Management Office (PMO). This role is ideal for engineers who are passionate about applying technical expertise to real-world national security challenges and advancing mission-critical capabilities through research, evaluation, and informed decision-making. This position requires U.S. citizenship and the ability to obtain a CBP Background Investigation (BI) is required; active CBP BI preferred. This position requires 20% travel that may entail remote and rugged areas.\nThe Data Science Lead must be a hands-on technical leader who combines advanced statistical expertise, strong coding skills, and practical mission awareness. This individual will evaluate data quality, validate assumptions, select appropriate analytical methods, and tackle complex technical challenges while ensuring findings are accurate, defensible, and actionable.\nThe role also requires strengthening team capabilities through technical mentorship, peer review, and consistent analytical standards. The ideal candidate can communicate complex findings, uncertainty, bias, and limitations clearly to technical, operational, clinical, and executive stakeholders.\nResponsibilities\nLead the analytical strategy for complex operational, workflow, technology, and programmatic questions, ensuring analyses are aligned with customer priorities and decision needs.\nServe as the lead subject-matter expert for Microsoft Dataverse data structures, data management practices, analytical use cases, and integration with reporting, automation, and data-science solutions.\nAssess data readiness for analytical and reporting use cases, including data quality, completeness, sensitivity, lineage, authoritative sources, access considerations, and fitness for intended measures.\nDesign and maintain reporting-ready Dataverse data models, tables, relationships, transformations, validation rules, business logic, and analytical pipelines.\nDevelop, review, and apply statistical models, machine-learning methods, exploratory analyses, predictive analytics, and AI/large-language-model evaluations, as appropriate.\nPerform hands-on analysis using Python, SQL, Dataverse queries, and related tools; troubleshoot complex data, integration, transformation, reporting, and modeling issues.\nPartner with program, operational, technical, evaluation, and data-governance stakeholders to establish appropriate baselines, denominators, comparisons, outcomes, performance measures, and evidence limitations.\nTranslate complex analytical findings into concise, actionable products for technical and nontechnical decision-makers, clearly communicating uncertainty, data-quality issues, assumptions, bias, and causal limitations.\nLead feature definition, model selection, validation strategies, error analysis, sensitivity testing, bias and fairness assessments, and interpretation for advanced analytics and machine-learning efforts.\nEstablish analytical standards and governance practices for reproducibility, peer review, validation, documentation, version control, data-quality checks, and transparent communication of analytical assumptions and limitations.\nCreate reusable notebooks, SQL scripts, code patterns, analytical templates, Dataverse configuration standards, data dictionaries, and quality checks to improve consistency and accelerate future work.\nCoach analysts, data scientists, and technical teams on data-management practices, analytical methods, quality assurance, peer review, and responsible use of data and AI-enabled capabilities.\nCoordinate with data engineering, platform, application-development, and Power Platform resources on data-pipeline design, integrations, model handoff, monitoring requirements, performance expectations, security considerations, and maintainability.\nLead technical reviews of analytical plans, data models, methods, and results to ensure the data, validation approach, assumptions, and interpretation are appropriate for the customer’s decision.\nPartner with data owners and governance stakeholders to improve data definitions, provenance, access patterns, quality expectations, retention practices, and responsible-use controls when recurring analysis identifies systemic data issues.\nSupport development of dashboards, reports, and self-service analytical products using approved reporting and visualization tools, ensuring outputs are accurate, documented, and fit for operational use.\nRemain current on applicable data-governance policies, privacy and security requirements, analytical methodologies, Microsoft Dataverse capabilities, and responsible AI practices.\nQualifications\nMaster’s degree or higher in statistics, data science, operations research, public health, computer science, engineering, mathematics, or another related quantitative discipline.\nAt least 9 years of progressive experience in applied data science, advanced analytics, statistical analysis, data engineering, or related analytical roles. Experience should include work in federal health, healthcare, regulated-data environments, enterprise modernization, or similarly complex mission-driven organizations.\nDemonstrated experience leading complex analytical efforts from problem definition through data assessment, analysis, validation, interpretation, and communication of results to technical and nontechnical stakeholders.\nStrong hands-on experience using Python and SQL to develop, test, validate, and troubleshoot analytical workflows, data transformations, statistical models, and machine-learning solutions.\nExperience designing and assessing data models, data pipelines, data-quality controls, validation logic, data lineage, authoritative data sources, and reporting-ready datasets.\nExperience with one or more advanced analytical methods, including predictive modeling, time-series analysis, causal inference, natural-language processing, machine learning, generative AI, or large language model evaluation.\nExperience with modern data, analytics, and visualization platforms, such as Microsoft Dataverse, Databricks, Snowflake, Power BI, Azure, AWS, Google Cloud Platform, or comparable technologies.\nDemonstrated ability to communicate analytical methods, results, uncertainty, assumptions, bias, data-quality concerns, and limitations clearly to leadership and other decision-makers.\nExperience establishing or applying analytical standards for reproducibility, peer review, documentation, version control, quality assurance, validation, and responsible use of data and AI.\nDemonstrated technical leadership experience, including mentoring analysts or data scientists, leading peer reviews, developing reusable analytical standards or assets, or managing complex analytical workstreams.\nPreferred Qualifications\nDoctoral degree in statistics, data science, operations research, public health, computer science, engineering, economics, epidemiology, or a related quantitative discipline.\nExperience supporting healthcare, federal health, clinical analytics, public health, operations research, or other domains where data context, quality, and interpretation materially affect operational or programmatic decisions.\nExperience operationalizing analytics or machine-learning solutions through repeatable data pipelines, model monitoring, MLOps practices, model lifecycle management, or collaboration with production engineering and platform teams.\nExperience designing, implementing, or evaluating NLP, generative AI, or large language model solutions, including evaluation methodologies, error analysis, bias or fairness assessment, and responsible-use considerations.\nExperience working with Dataverse and the Microsoft Power Platform, including Dataverse table design, relationships, security roles, integrations, data management, reporting, and Power BI analytics.\nAdvanced certifications in cloud machine learning, data science, analytics, data engineering, Databricks, Azure, AWS, Google Cloud Platform, Power Platform, or comparable technologies.\nEvidence of recognized technical leadership through publications, conference presentations, internal analytical standards, training development, mentoring, peer-review leadership, or leadership of enterprise-scale analytical initiatives.\nTarget salary range is $ $111,209 - $180,317\nDisclaimer: 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-Remote US-DC-Washington, DC","description_format":"text","description_chars":8848,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Government","IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-26T06:18:34Z"}],"visa":[],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":0.9,"age_days":6,"expected_fill_days":17,"reasons":["conf:0","velocity","win:mid","comp:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":180317,"is_top_pay":true},"html_url":"https://alion.io/job/lmi-dataverse-data-science-lead-cbp","json_url":"https://alion.io/job/lmi-dataverse-data-science-lead-cbp.json","meta":{"generated_at":"2026-11-02T22:37:31Z","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":31806,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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-dataverse-data-science-lead-cbp"},{"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-dataverse-data-science-lead-cbp"},{"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-dataverse-data-science-lead-cbp"},{"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-dataverse-data-science-lead-cbp\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flmi-dataverse-data-science-lead-cbp"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3262197}},{"tool":"search_jobs","arguments":{"company":"lmisolutions.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3262197},"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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