Data Scientist (Looker/AI/BI)

Northramp LLC

Reston (VA)

Hybrid

USD 120,000 - 180,000

Full time

8 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Paid Time Off (Vacation, Sick & PH

Family Leave (Maternity, Paternity)

Short/Long Disability

Training & Development

Work From Home

Wellness Resources

Employee Bonus Programs

Job summary

Northramp LLC is seeking a Data Scientist to develop analytical models, BI solutions, and AI/ML capabilities across IaaS, PaaS, and SaaS for enterprise cloud modernization. You will work with Looker as the BI delivery platform to support program operations, resource planning, and mission-critical decision-making.

Hybrid role in the DC metro area with on-site presence at client locations as needed; remote work allowed per security requirements. 3–6 years of production ML experience is preferred.

Qualifications

3 to 6 years of hands-on data science experience with production model deployment.
Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related 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 ML models in cloud environments (Vertex AI, SageMaker, Azure ML).
Strong grounding in statistical methods: regression, classification, time series, and A/B testing.
Working knowledge of BigQuery or equivalent cloud data warehouses.
Experience with BI tools beyond Looker (Tableau, Power BI, Looker Studio).
Familiarity with MLOps concepts: versioning, experiments, deployment pipelines.
Understanding of federal AI governance guidance (FedRAMP) and DHS considerations.
U.S. Citizenship and ability to obtain and maintain DHS Public Trust clearance.

Responsibilities

Design, develop, and maintain LookML data models, Looks, and Looker dashboards delivering actionable BI to program stakeholders.
Build and deploy ML models for classification, prediction, anomaly detection, and NLP use cases using Python and cloud AI services.
Conduct exploratory data analysis, statistical modeling, and hypothesis testing to surface patterns.
Develop feature engineering pipelines, model training workflows, and model serving infrastructure integrated with cloud data platforms and BigQuery.
Collaborate with Data Engineers to define data requirements and ensure dataset quality.
Translate mission requirements into analytical problem definitions and measurable KPIs for leadership.
Implement responsible AI practices — explainability, bias assessment, and documentation per governance.
Create automated reporting and alerting workflows for operational metrics and anomalies.
Document methodologies, validation results, and performance to support ATO and audits.
Mentor junior analysts and promote data-driven practices across the team.

Skills

Python

SQL

LookML

Looker

TensorFlow

PyTorch

BigQuery

Vertex AI

SageMaker

Azure ML

NLP

Tableau

Power BI

MLOps

FedRAMP

Education

Bachelor’s or Master’s in Data Science/Statistics/Mathematics/CS

Tools

Looker

Vertex AI

SageMaker

Azure ML

BigQuery

Job description

Opportunity Overview

Northrampis seeking a Data Scientist to join the team supporting a mission-critical effort toconsolidate, modernize, andoperateour client'senterprise cloud services across IaaS, PaaS, and SaaS environments.

You will develop analytical models, business intelligence solutions, and AI/ML capabilities that helpthe clientderive actionable insight fromitsenterprise data. The role spans statistical analysis, machine learning, and data visualization — with Looker as the primary BI delivery platform — in support of program operations, resource planning, and mission-critical decision-making.

This role is part ofNorthramp’sintegrated 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.

Location & Work Arrangement

Hybrid, based in the Washington, DC metro area. On-site presence atdesignated 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, Maryland, Virginia region.

The Ideal Candidate

You turn data into decisions that program managers and agency leaders actually act on.You know when to reach for a simple statistical model and when the complexity of ML isactually warranted, andyou’vedelivered BI solutions that get used rather than ignored. You communicate findings clearly to non-technicalstakeholdersand youoperatewith rigor around data quality and reproducibility.

Key Responsibilities

Design, develop, and maintainLookMLdata models, Looks, and Looker dashboards that deliver actionable business intelligence toclientprogram stakeholders and leadership.

Build and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing use cases using Python (scikit-learn, TensorFlow, orPyTorch) and cloud AI/ML services (Vertex AI, SageMaker, or Azure ML).

Conduct exploratory data analysis, statistical modeling, and hypothesis testing to surface patterns and insightsinclientoperational and program data.

Develop andmaintainfeature engineering pipelines, model training workflows, and model serving infrastructure integrated with cloud data platforms andBigQuery.

Partner with Data Engineers to define data requirements,validatepipeline outputs, and ensure analytical datasets meet quality and completeness standards.

Collaborate with program leadership andclientgovernment 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 andmaintainautomated 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.

Required Qualifications

3 to 6 years of progressive, hands-on experience in data science or applied analytics with production model deployment experience.

Bachelor’s orMaster’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.

Proficiencyin Python for data science (pandas, NumPy, scikit-learn,statsmodels) and SQL for data extraction and analysis.

Hands-on experience with Looker —LookMLmodeling, 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 ofBigQueryor 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 withMLOpsprinciples: model versioning, experiment tracking (MLflowor Vertex AI Experiments), and deployment pipelines.

Understanding offederal AI governance guidance (OMB M-24-10 or equivalent) and FedRAMP data handling requirements.

U.S. Citizenship and the ability to obtain andmaintaina DHS suitability / Public Trust clearance.

Desired Qualifications

Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification.

Looker certificationor demonstratedadvancedLookMLexperience.

Security+ or equivalent certification.

Experience with NLP, computer vision, or generative AI application development.

Federal data science or analytics program experience.

Active Public Trust or higher clearance.

Clearance

DHS suitability and a Public Trust background investigation arerequiredfor 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.

AboutNorthramp

Northrampis a federal consulting firm that helps agencies modernize andoperatemission-critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high-stakesdigital 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.

We holdhigh standardsbecause our clients’ missions demand it, and we support our people in meeting them.Northrampis where you are challenged, trusted, and supported — a place for people who take pride in their work, valueclarityand follow-through, and want to make a meaningful impact through technology.

Equal Opportunity

Northrampis an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminateon the basis ofrace, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law.Northrampparticipates in E-Verify.