Analytics and Insights Engineer II, Data Science and Model Development

PowerToFly; Virginia (IL); On-site; USD 103,000 - 171,000; Full time

Job summary

Deloitte GPS is seeking a Data Science Analytics and Insights Engineer II to build workforce models and validate data from government systems. You will collaborate with data scientists to integrate models into a front-end application and ensure outputs are explainable for client validation.

The role requires a Bachelor’s degree with 2+ years in quantitative workforce modeling, statistics, and Python, with eligibility for US work authorization and security clearance.

Qualifications

• Bachelor's degree in a relevant field.
• 2+ years building quantitative workforce or resource models.
• 2+ years applying advanced statistics (regression, calibration, testing).
• 2+ years experience with machine learning models and feature engineering.
• 2+ years programming in Python for analysis and modeling.
• Authorized to work in the United States without sponsorship; security clearance required.

Responsibilities

• Build and validate quantitative workforce models translating workload drivers into FTE requirements.
• Analyze and prep data from government personnel systems for modeling.
• Perform feature engineering and model calibration to improve accuracy and defensibility.
• Collaborate with Senior Data Scientists and AI engineers to integrate outputs into front-end app.
• Ensure model assumptions and outputs are traceable and explainable for client validation.

Skills

Independence and collaboration

Communication skills

Attention to detail

Relationship building

Project leadership

Multi-tasking in fast-paced env

Interpersonal skills

Deadline driven

Education

Bachelor's degree

Tools

Python

Tableau

Power BI

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 Data Science Analytics and Insights Engineer II on the team, you will be responsible for...

• Building and validating quantitative workforce models that translate organizational workload drivers into defensible full-time equivalent (FTE) requirements across military, civilian, and contractor populations.
• Analyzing, cleaning, and preparing data from government personnel systems, to support modeling and workforce planning.
• Performing feature engineering, regression model calibration, and plausibility banding to improve model accuracy, transparency, and defensibility.
• Collaborating with Senior Data Scientists and AI engineers to integrate scenario-planning parameters and model outputs into a front-end application.
• Partnering with functional and client-facing leads to ensure model assumptions, calculations, and outputs are traceable, explainable, and ready for client validation review.

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 relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines

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.

Qualifications

Required:

• Bachelor's degree
• 2+ years of experience building, validating, or maintaining quantitative workforce, staffing, or resource models.
• 2+ years of experience applying advanced statistics in a professional setting, including regression analysis methods, model calibration, diagnostic testing, and interpretation of results.
• 2+ years of experience with machine learning models and feature engineering using structured data.
• 2+ years of experience 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
• Active Secret or above security clearance required

Preferred:

• Experience working with structured and unstructured data from multiple source systems
• Experience with feature engineering, model evaluation, and performance tuning techniques
• Experience developing data visualizations or dashboards using tools such as Tableau, Power BI, or similar platforms

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 $102,500 to $170,900.

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.