{"id":2104092,"url":"https://alion.io/job/northramp-llc-data-scientist-aibilooker","title":"Data Scientist (AI/BI/Looker)","company":{"id":682392,"name":"Northramp LLC","domain":"northramp.com","url":"https://alion.io/company/northramp","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States","Reston, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":229000,"period":"year","method":"role_country_seniority_unknown","sample_n":3418},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"FedRAMP","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-08T19:40:05Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-24T12:15:08Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"Opportunity Overview\nNorthramp is seeking a Data Scientist to join the team supporting client's Cloud Modernization program - a mission-critical effort to consolidate, modernize, and operate client's enterprise cloud services across IaaS, PaaS, and SaaS environments under FedRAMP High authorization.\nYou will develop analytical models, business intelligence solutions, and AI/ML capabilities that help our client derive actionable insights from its enterprise data. The role spans statistical analysis, machine learning, and data visualization - with BigQuery and Looker as the primary BI delivery platform - in support of program operations, resource planning, and mission-critical decision-making.\nThis role is part of Northramp’s integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to high-stakes modernization programs.\nLocation & Work Arrangement\nRemote or hybrid, based in the Washington, DC metro area. On-site presence at designated client locations is expected on a cadence aligned to program needs. Remote work is supported around mission and security requirements. This role is not open to candidates outside the DC region.\nThe Ideal Candidate\nYou turn data into decisions that program managers and agency leaders act on. You know when to reach for a simple statistical model and when the complexity of ML is warranted, and you’ve delivered BI solutions that get used rather than ignored. You communicate findings clearly to non-technical stakeholders and you operate with rigor around data quality and reproducibility.\nKey Responsibilities\nDesign, develop, and maintain LookML data models, Looks, and LookML dashboards that deliver actionable business intelligence to client program stakeholders and leadership. \nBuild and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing use cases using Python (scikit-learn, TensorFlow, or PyTorch) and cloud AI/ML services (Vertex AI, SageMaker, or Azure ML). \nConduct exploratory data analysis, statistical modeling, and hypothesis testing to surface patterns and insights in client operational and program data. \nDevelop and maintain feature engineering pipelines, model training workflows, and model serving infrastructure integrated with cloud data platforms and BigQuery. \nPartner with Data Engineers to define data requirements, validate pipeline outputs, and ensure analytical datasets meet quality and completeness standards. \nCollaborate with program leadership and client government stakeholders to translate mission requirements into analytical problem definitions and measurable KPIs. \nImplement responsible AI practices - model explainability, bias assessment, and documentation standards - consistent with federal AI governance frameworks. \nBuild and maintain automated reporting and alerting workflows that surface operational metrics and anomalies to the right stakeholders at the right time. \nDocument data science methodologies, model assumptions, validation results, and performance metrics to support ATO and audit requirements. \nMentor junior analysts and support adoption of data-driven practices across the delivery team. \nRequirements\nRequired Qualifications\n3 to 6 years of progressive, hands-on experience in data science or applied analytics with production model deployment experience. \nBachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. \nProficiency in Python for data science (pandas, NumPy, scikit-learn, statsmodels) as well as advanced SQL for complex data transformation, analytical querying, optimization, and large-scale data analysis. \nHands-on expertise with Looker and LookML, including designing and maintaining scalable semantic models; developing complex Explores, Views, dimensions, measures, joins, and relationships; implementing derived tables and Persistent Derived Tables (PDTs); creating reusable LookML patterns; and applying strong LookML development, testing, documentation, and version-control practices.\nUnderstanding data visualization and dashboard design best practices, including effective visual storytelling, information hierarchy, KPI design, accessibility, usability, and selecting appropriate visualizations to communicate analytical findings clearly.\nDeep analytical, troubleshooting, and problem-solving skills, with demonstrated ability to perform root-cause analysis across BI, data, SQL, LookML, BigQuery, and machine learning workflows and to resolve complex technical and data-quality issues efficiently. \nExperience developing, training, validating, tuning, and deploying machine learning models using Vertex AI, including supervised learning techniques such as regression and classification and, where applicable, time-series forecasting, clustering, or other advanced analytical approaches (Vertex AI, SageMaker, or Azure ML). \nStrong grounding in statistical methods: regression, classification, time series analysis, and A/B testing. \nWorking knowledge of BigQuery or equivalent cloud data warehouses for large-scale analytical workloads. \nExperience with data visualization best practices and BI tooling beyond Looker (e.g., Tableau, Power BI, or Google Looker Studio). \nFamiliarity with MLOps principles: model versioning, experiment tracking (MLflow or Vertex AI Experiments), and deployment pipelines. \nUnderstanding of federal AI governance guidance (OMB M-24-10 or equivalent) and FedRAMP data handling requirements. \nU.S. Citizenship and the ability to obtain and maintain a DHS suitability / Public Trust clearance. \nDesired Qualifications\nGoogle Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification. \nDemonstrated advanced LookML experience. \nSecurity+ or equivalent certification. \nExperience with NLP, computer vision, or generative AI application development. \nFederal data science or analytics program experience. \nActive Public Trust or higher clearance. \nClearance\nDHS suitability and a Public Trust background investigation are required for this role. Active Public Trust or higher clearance is preferred. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to controlled or classified information.\nAbout Northramp\nNorthramp is a federal consulting firm that helps agencies modernize and operate mission-critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high-stakes digital transformation in highly regulated environments where failure is not an option. Our integrated delivery model brings engineers and advisors together as one team, combining technical depth with an operator’s mindset to move organizations from strategy to execution with confidence.\nWe hold high standards because our clients’ missions demand it, and we support our people in meeting them. Northramp is where you are challenged, trusted, and supported - a place for people who take pride in their work, value clarity and follow-through, and want to make a meaningful impact through technology.\nEqual Opportunity\nNorthramp is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Northramp participates in E-Verify. as well as advanced SQL for complex data transformation, analytical querying, optimization, and large-scale data analysis.\nBenefits\nHealth Care Plan (Medical, Dental & Vision)\nRetirement Plan (401k, IRA)\nLife Insurance (Basic, Voluntary & AD&D)\nPaid Time Off (Vacation, Sick & Public Holidays)\nFamily Leave (Maternity, Paternity)\nShort Term & Long Term Disability\nTraining & Development\nWork From Home\nWellness Resources\nEmployee Bonus Programs","description_format":"text","description_chars":8049,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["401k plan","Life insurance","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-10-08T19:40:05Z"}],"visa":[],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.494,"p_room":0.45,"age_days":15,"expected_fill_days":8,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/northramp-llc-data-scientist-aibilooker","json_url":"https://alion.io/job/northramp-llc-data-scientist-aibilooker.json","meta":{"generated_at":"2026-10-24T12:29:13Z","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":17918,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":682392},"rest":"https://alion.io/mcp/rest/get_company?id=682392"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnorthramp-llc-data-scientist-aibilooker"},{"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%2Fnorthramp-llc-data-scientist-aibilooker"},{"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%2Fnorthramp-llc-data-scientist-aibilooker"},{"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/northramp-llc-data-scientist-aibilooker\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnorthramp-llc-data-scientist-aibilooker"}]}