Data Scientist (AI/BI/Looker)

Northramp LLC

Bethesda (MD)

Hybrid

USD 120,000 - 160,000

Full time

14 days+

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Health Care Plan

Retirement Plan

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Training & Development

Work From Home

Wellness Resources

Employee Bonus Programs

Job summary

Northramp LLC seeks a Data Scientist to support a federal Cloud Modernization program. You will develop BI solutions and AI/ML capabilities with Looker/LookML, Python, and cloud services to derive actionable insights across enterprise data.

The ideal candidate will balance statistical analysis, ML, and data visualization, delivering robust data-driven decisions for program operations and leadership while adhering to federal governance standards and security requirements. Remote/hybrid in DC area.

Qualifications

3 to 6 years of progressive, hands-on data science or analytics with production model deployment experience.
Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, CS, or a related quantitative field.
Proficiency in Python for data science and advanced SQL for complex transformations and large-scale analysis.
Hands-on expertise with Looker/LookML, scalable semantic models, PDTs, and version-control.
Experience with ML model development and deployment on Vertex AI, SageMaker or Azure ML.
Knowledge of LookML dashboards, data visualization best practices, and BI tooling beyond Looker.

Responsibilities

Design, develop, and maintain LookML data models, Looks, and LookML dashboards for actionable BI.
Build and deploy ML models for classification, prediction, anomaly detection, and NLP using Python and cloud services.
Conduct exploratory data analysis, statistical modeling, and hypothesis testing on client data.
Develop feature engineering pipelines, training workflows, and model serving with cloud data platforms and BigQuery.
Collaborate with Data Engineers to define data requirements and ensure data quality.
Translate mission requirements into analytical KPIs and collaborate with stakeholders.
Implement responsible AI practices including model explainability and bias assessment.
Create automated reporting and alerting workflows for operational metrics.
Document methodologies, validation results, and performance metrics for audits.
Mentor junior analysts and promote data-driven practices across the team.

Skills

LookML

Python

SQL

BigQuery

Looker

Vertex AI

SageMaker

Azure ML

MLOps

AI governance

Education

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

Tools

BigQuery

Tableau/Power BI

Looker Studio

Job description

Opportunity Overview

Northrampis 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.

You will develop analytical models, business intelligence solutions, and AI/ML capabilities that help our client derive actionable insights fromitsenterprise 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.

This role is partofNorthramp’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

Remote or 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 region.

The Ideal Candidate

You 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, 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 LookML 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) as well as advanced SQL for complex data transformation, analytical querying, optimization, and large-scale data analysis.

Hands-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.
Understanding 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.
Deep 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.

Experience 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).

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.

Demonstrated advanced LookML experience.

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.as well as advanced SQL for complex data transformation, analytical querying, optimization, and large-scale data analysis.