Data Scientist – AI, BI, Looker

Northramp

. Develop and maintain LookML data models, Looks, and LookML dashboards for client program stakeholders and leadership .

Posted 10/9/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining LookML data models and machine learning models, with a strong foundation in Python, SQL, and cloud data platforms. Proficient in implementing responsible AI practices and mentoring junior analysts while collaborating with stakeholders to translate mission requirements into actionable insights.

Highest-signal resume keywords

LookML Data ModelingMachine Learning Model DeploymentPython ProficiencyAdvanced SQL SkillsData Visualization Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LookMLMachine LearningPythonSQLData AnalysisFeature EngineeringStatistical ModelingNatural Language ProcessingBigQueryMLOps

Soft Skills

Analytical SkillsProblem-SolvingCollaborationMentoringCommunication

Tools & Technologies

LookerVertex AISageMakerAzure MLTableauPower BIGoogle Looker Studio

Certifications & Qualifications

Google Cloud Professional Machine Learning EngineerSecurity+

Industry Keywords

Federal AI GovernanceDHS SuitabilityPublic Trust ClearanceData ScienceAnalytics

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudNumpyPandasPythonScikit-LearnSQLTableau

About the role

Key responsibilities & impact

Develop and maintain LookML data models, Looks, and LookML dashboards for client program stakeholders and leadership
Build and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing
Conduct exploratory data analysis, statistical modeling, and hypothesis testing
Develop and maintain feature engineering pipelines, model training workflows, and model serving infrastructure integrated with cloud data platforms and BigQuery
Partner with Data Engineers to define data requirements and validate pipeline outputs
Collaborate with program leadership and government stakeholders to translate mission requirements into analytical problems and measurable KPIs
Implement responsible AI practices, including model explainability, bias assessment, and documentation
Build and maintain automated reporting and alerting workflows for operational metrics and anomalies
Document methodologies, model assumptions, validation results, and performance metrics for ATO and audit requirements
Mentor junior analysts and support data-driven practices across the delivery team

Requirements

What you’ll need

3 to 6 years of progressive, hands-on experience in data science or applied analytics with production model deployment experience
Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
Proficiency in Python for data science, including pandas, NumPy, scikit-learn, and statsmodels
Advanced SQL for complex data transformation, analytical querying, optimization, and large-scale data analysis
Hands-on expertise with Looker and LookML, including scalable semantic models, complex Explores, Views, dimensions, measures, joins, relationships, derived tables, PDTs, reusable LookML patterns, testing, documentation, and version control
Understanding of data visualization and dashboard design best practices, including visual storytelling, information hierarchy, KPI design, accessibility, usability, and visualization selection
Deep analytical, troubleshooting, and problem-solving skills across BI, data, SQL, LookML, BigQuery, and machine learning workflows
Experience developing, training, validating, tuning, and deploying machine learning models using Vertex AI, SageMaker, or Azure ML
Strong grounding in regression, classification, time series analysis, and A/B testing
Working knowledge of BigQuery or equivalent cloud data warehouses
Experience with BI tooling beyond Looker, such as Tableau, Power BI, or Google Looker Studio
Familiarity with MLOps principles, including model versioning, experiment tracking, and deployment pipelines
Understanding of federal AI governance guidance, including OMB M-24-10 or equivalent, and FedRAMP data handling requirements
U.S. Citizenship
Ability to obtain and maintain DHS suitability / Public Trust clearance
Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification is desired
Security+ or equivalent certification is desired
Experience with NLP, computer vision, or generative AI application development is desired
Federal data science or analytics program experience is desired
Active Public Trust or higher clearance is desired

Benefits

Comp & perks

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Training & Development
Work From Home
Wellness Resources
Employee Bonus Programs