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# Data Scientist Consultant with Active Secret Clearance

- **Company:** Deloitte T.T.L.
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Salary:** $84,400 - $140,600
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, Regression Analysis, SQL Databases, Feature Engineering, SC Clearance, Data Pipelines
- **Published:** November 1, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9280720/data-scientist-consultant-with-active-secret-clearance

## About the Role

* Ability to work independently and collaborate as part of a team
 * Effective written and verbal communication skills
 * Meticulous attention to detail and quality of work product
 * Ability to build and sustain professional relationship
 * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
 * Strong interpersonal skills and professional demeanor
 * Ability to meet deadlines
 * Ability to provide clear guidance to others, Required:
 * Bachelor's degree
 * Active Secret Clearance
 * 2+ years of experience using Python for statistical analysis and model development, and SQL to query, clean, and prepare data
 * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

 * Technical experience with Python and Machine Learning
 * Experience testing artificial intelligence (AI) and data products

## Description

As an Analytics & Insights Engineer II on the team, you will be responsible for:

 * Partner with client-aligned and Core Modeling teams to understand incoming data, business questions, and data-pipeline requirements.
 * Build, test, and maintain data pipelines that collect, clean, transform, and prepare data for analysis and model development.
 * Develop and evaluate statistical, classical regression, and machine learning models supporting workforce forecasting.
 * Applying feature engineering, regression analysis, model calibration, and diagnostic testing to create transparent and explainable analytic outputs.
 * Capturing and analyzing metrics for data quantities and transfer timelines, system errors, failures, and downtime to support system integrity.