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Northramp
Northramp
51 – 200 Employees
B2BConsultingGovernment
Northramp is an IT services and digital transformation firm founded in 2012. The company helps U.S. government organizations and commercial businesses modernize, operate, and acquire technology through consulting and managed services. Its work spans cloud architecture, artificial intelligence, robotic process automation, IT service management, agile management, IT advisory, and IT acquisition services.
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Data Scientist, AI and BI (Looker) - Northramp

Build AI, machine learning, and Looker BI solutions for Northramp’s federal cloud modernization programs. Support FedRAMP High operations and mission-critical decisions for government agencies.

USUnited StatesMDMarylandVAVirginiaWAWashingtonHybridFull-timeMiddleSeniorEnglish RequiredData Scientist
AWSAzureBigQueryCloudNumpyPandasPythonScikit-LearnSQLTableau

Description

  • Create and maintain LookML models, Looks, and dashboards for client stakeholders and program leadership
  • Develop and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing
  • Perform exploratory analysis, statistical modeling, and hypothesis testing
  • Build feature engineering pipelines, model-training workflows, and model-serving infrastructure connected to cloud data platforms and BigQuery
  • Work with Data Engineers to establish data requirements and verify pipeline results
  • Partner with program leaders and government stakeholders to turn mission needs into analytical questions and measurable KPIs
  • Apply responsible AI practices through explainability, bias evaluation, and thorough documentation
  • Develop and operate automated reporting and alerting workflows for operational metrics and anomalies
  • Record methodologies, assumptions, validation findings, and performance measures to support ATO and audit requirements
  • Mentor junior analysts and promote data-informed practices across the delivery team

Requirements

  • Three to six years of progressive, hands-on data science or applied analytics experience, including deploying models in production
  • Bachelor’s or master’s degree in data science, statistics, mathematics, computer science, or a related quantitative discipline
  • Proficiency in Python data science tools, including pandas, NumPy, scikit-learn, and statsmodels
  • Advanced SQL skills for complex transformations, analytical queries, optimization, and large-scale analysis
  • Advanced Looker and LookML experience covering semantic models, complex Explores, Views, dimensions, measures, joins, relationships, derived tables, PDTs, reusable patterns, testing, documentation, and version control
  • Knowledge of dashboard and data visualization principles, including visual storytelling, information hierarchy, KPI design, accessibility, usability, and appropriate chart selection
  • Strong analytical, troubleshooting, and problem-solving abilities across BI, SQL, LookML, BigQuery, and machine learning workflows
  • Experience building, training, validating, tuning, and deploying models with Vertex AI, SageMaker, or Azure ML
  • Solid understanding of regression, classification, time series analysis, and A/B testing
  • Working knowledge of BigQuery or a comparable cloud data warehouse
  • Experience using BI platforms beyond Looker, such as Tableau, Power BI, or Google Looker Studio
  • Familiarity with MLOps practices, including model versioning, experiment tracking, and deployment pipelines
  • Understanding of federal AI governance, including OMB M-24-10 or comparable guidance, and FedRAMP data-handling requirements
  • U.S. citizenship
  • Ability to obtain and maintain DHS suitability or Public Trust clearance
  • Google Cloud Professional Machine Learning Engineer certification or an equivalent AWS or Azure ML credential is preferred
  • Security+ or an equivalent certification is preferred
  • Experience with NLP, computer vision, or generative AI application development is preferred
  • Experience supporting federal data science or analytics programs is preferred
  • Active Public Trust or higher clearance is preferred

Benefits

  • Medical, dental, and vision health coverage
  • 401(k) or IRA retirement plan
  • Basic, voluntary, and AD&D life insurance
  • Paid vacation, sick leave, and public holidays
  • Maternity and paternity family leave
  • Short- and long-term disability coverage
  • Training and professional development
  • Work-from-home support
  • Wellness resources
  • Employee bonus programs

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