Northramp

Data Scientist (Looker/AI/BI)

Washington, DC, USPosted 11 days ago

Job Description

Opportunity Overview

Northramp is seeking a Data Scientist to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across IaaS, PaaS, and SaaS environments.

You will develop analytical models, business intelligence solutions, and AI/ML capabilities that help the client derive actionable insight from its enterprise 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 of Northramp’s integrated 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 at designated 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 is actually warranted, and you’ve delivered BI solutions that get used rather than ignored. You communicate findings clearly to non-technical stakeholders and you operate with rigor around data quality and reproducibility.

Key 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 (scikit-learn, TensorFlow, or PyTor

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