Job description

Our Deloitte Human Capital team helps organizations create value through people performance. We help clients reimagine work, the workforce, and the workplace across the enterprise, and transform HR functions with artificial intelligence and emerging technology. In today’s rapidly changing environment, this role supports efforts that help clients improve workforce access, development, motivation, organization, and culture to enable performance. Work you'll do As a Project - Data Scientist Analytics & Insights Engineer II on the team, you will be responsible for: • Developing and maintaining human capital analytics models, visualizations, and tools that support insider-threat deterrence, detection, and mitigation. • Analyzing, cleaning, and preparing personnel and system data for workforce-focused analytics and anomaly detection. • Building and maintaining risk-scoring and analytic tools that identify anomalous events and support detection activities. • 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. A successful candidate would possess these skills: • 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 The team Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our Insights, Innovation, & Operate offering provides key aspects of our clients’ businesses with technology, data, and deep technical and human capabilities. Innovates and delivers creative, industry-centric solutions that streamline work and accelerate speed-to-value. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals. Qualifications Required: • Bachelor's degree • Active TS/SCI with Polygraph security clearance required • 4+ years of experience applying statistical methods—including regression analysis, model calibration, diagnostic testing, and interpretation of results—and developing machine learning models and feature engineering using structured data. • Experience building, validating, or maintaining quantitative workforce, staffing, or resource models and programming in Python for statistical analysis, data preparation, and model development. • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future • Must be able to be on site 100% of the time in Springfield, VA Preferred: • Experience integrating structured and unstructured data from multiple source systems • Experience performing feature engineering, model evaluation, and model performance tuning • Experience developing data visualizations or dashboards using Tableau or Microsoft Power BI For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $88,600 to $147,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. #CJ2 #GPSHC2026

Requirements

Must-haves

Work you'll do
As a Project - Data Scientist Analytics & Insights Engineer II on the team, you will be responsible for:
Developing and maintaining human capital analytics models, visualizations, and tools that support insider-threat deterrence, detection, and mitigation.
Analyzing, cleaning, and preparing personnel and system data for workforce-focused analytics and anomaly detection.
Building and maintaining risk-scoring and analytic tools that identify anomalous events and support detection activities.
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.
A successful candidate would possess these skills:
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
Bachelor's degree
Active TS/SCI with Polygraph security clearance required
Experience building, validating, or maintaining quantitative workforce, staffing, or resource models and programming in Python for statistical analysis, data preparation, and model development.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Must be able to be on site 100% of the time in Springfield, VA

Nice-to-haves

Experience integrating structured and unstructured data from multiple source systems
Experience performing feature engineering, model evaluation, and model performance tuning
Experience developing data visualizations or dashboards using Tableau or Microsoft Power BI

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpython

Platform: avature
Effort: medium