Data Scientist Consultant with Active Secret Clearance

Deloitte • Arlington, VA

5d • $84,400 - $140,600

About The Position

Deloitte’s Human Capital team helps organizations create value through people performance by reimagining work, the workforce, and the workplace, and transforming HR functions with artificial intelligence and emerging technology. This role supports client efforts to improve workforce access, development, motivation, organization, and culture.

As an Analytics & Insights Engineer II, you will partner with client-aligned and Core Modeling teams to understand incoming data, business questions, and data-pipeline requirements. You will build, test, and maintain pipelines to collect, clean, transform, and prepare data for analysis and model development; develop and evaluate statistical, regression, and machine-learning models for workforce forecasting; and create transparent, explainable analytic outputs. You will also track data quantities, transfer timelines, system errors, failures, and downtime to support system integrity.

The role is within Deloitte’s Government & Public Services practice, which serves federal, state, and local government clients and public higher education institutions. The Insights, Innovation, & Operate offering combines technology, data, and technical and human capabilities to deliver solutions that streamline work and accelerate value. The position is based in Rosslyn, Virginia. The stated Virginia compensation range is $84,400 to $140,600. The role may also be eligible for a discretionary annual incentive, subject to program rules and applicable factors.

Requirements

• Bachelor's degree.
• Active Secret Clearance.
• At least 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 employer sponsorship, now or at any time in the future.
• 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 relationships.
• 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.

Nice To Haves

• Technical experience with Python and machine learning.
• Experience testing artificial intelligence (AI) and data products.

Responsibilities

• 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.
• Apply feature engineering, regression analysis, model calibration, and diagnostic testing to create transparent and explainable analytic outputs.
• Capture and analyze metrics for data quantities and transfer timelines, system errors, failures, and downtime to support system integrity.

Benefits

• Broad range of employee benefits.
• Potential eligibility to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
• Opportunities to build new skills, take on leadership opportunities, and connect and grow through mentorship and learning programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level