Data Scientist: Looker/AI for Federal Programs

Northramp LLC; Washington; Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health Insurance

401k

Paid Time Off

Work From Home

Training & Development

Life Insurance

Job summary

Northramp is seeking a Data Scientist to develop analytical models, BI solutions, and AI/ML capabilities across enterprise cloud environments. You will build Looker data models and dashboards to drive actionable insights for program operations and leadership, while deploying ML models in cloud platforms and ensuring data quality.

You will collaborate with data engineers and government stakeholders to translate requirements into measurable KPIs, and implement responsible AI practices in line with

Qualifications

• 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 (pandas, NumPy, scikit-learn, statsmodels) and SQL for data extraction and analysis.
• Hands-on experience with Looker — LookML modeling, dashboard development, and content management.
• Experience training, validating, and deploying machine learning models in cloud environments (Vertex AI, SageMaker, or Azure ML).
• Strong grounding in statistical methods: regression, classification, time series analysis, and A/B testing.
• Working knowledge of BigQuery or equivalent cloud data warehouses for large-scale analytical workloads.
• Experience with data visualization best practices and BI tooling beyond Looker (e.g., Tableau, Power BI, or Google Looker Studio).
• Familiarity with MLOps principles: model versioning, experiment tracking (MLflow or Vertex AI Experiments), and deployment pipelines.
• Understanding of federal AI governance guidance (OMB M-24-10 or equivalent) and FedRAMP data handling requirements.
• U.S. Citizenship and the ability to obtain and maintain DHS suitability / Public Trust clearance.

Responsibilities

• Design, develop, and maintain LookML data models, Looks, and Looker dashboards that deliver actionable business intelligence to client program stakeholders and leadership.
• Build and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing use cases using Python and cloud AI/ML services.
• Conduct exploratory data analysis, statistical modeling, and hypothesis testing to surface patterns and insights in client operational and program data.
• 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, validate pipeline outputs, and ensure analytical datasets meet quality and completeness standards.
• Collaborate with program leadership and client government stakeholders to translate mission requirements into analytical problem definitions and measurable KPIs.
• Implement responsible AI practices — model explainability, bias assessment, and documentation standards — consistent with federal AI governance frameworks.
• Build and maintain automated reporting and alerting workflows that surface operational metrics and anomalies to the right stakeholders at the right time.
• Document data science methodologies, model assumptions, validation results, and performance metrics to support ATO and audit requirements.
• Mentor junior analysts and support adoption of data-driven practices across the delivery team.

Skills

Python

SQL

LookML

BigQuery

Cloud ML

BI Visualization

ML Ops

AI Governance

Education

Data Science Degree

Tools

TensorFlow

scikit-learn

Vertex AI

SageMaker

Azure ML

Looker

BigQuery

Job description

Northramp is seeking a Data Scientist to develop analytical models, BI solutions, and AI/ML capabilities across enterprise cloud environments. You will build Looker data models and dashboards to drive actionable insights for program operations and leadership, while deploying ML models in cloud platforms and ensuring data quality.

You will collaborate with data engineers and government stakeholders to translate requirements into measurable KPIs, and implement responsible AI practices in line with