QA Data Scientist

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair
360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a QA Data Scientist to join our Federal Advisory team.

Responsibilities:

Own the development, maintenance, and analysis of Process Performance Baselines (PPBs) and Process Performance Models (PPMs), including the use of parametric estimation tools (for example, SLIM)
Lead advanced statistical analysis, including control charting (for example, QI Macros), Gage R&R, regression, and predictive modeling on quantitative project data Drive Causal Analysis and Resolution (CAR) and other high maturity practices with data-driven insights

Perform Function Point Analysis (FPA) to normalize project size data for use in organizational metrics and models

Design and maintain dashboards, reports, and visualizations that support statistical management and decision-making for project teams and leadership

Collaborate closely with process specialists and project teams to refine metrics, validate data, and interpret results to accelerate continuous improvement

Act with integrity, professionalism, and personal responsibility to contribute to KPMG's respectful and high-performing work environment

Qualifications:

Minimum three years of recent direct, hands-on experience applying CMMI High Maturity (ML4/ML5) practices, including work with PPBs, PPMs, and Statistical Process Control (SPC)
Bachelor's or Master's degree from an accredited college or university in statistics, data science, mathematics, industrial engineering, or a related quantitative field

Proficiency with QI Macros or equivalent statistical software; experience with SLIM or similar parametric estimation tools is a strong plus Direct experience as a participant in a successful CMMI High Maturity appraisal is required

Hands-on experience applying quantitative practices in a CMMI environment across both the Development (DEV) and Services (SVC) models is required; demonstrated, hands-on experience performing Function Point Analysis (FPA) for project sizing

Excellent analytical and communication skills, with a proven ability to translate complex data into actionable insights for stakeholders; experience in federal contracting is highly desirable

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
KPMG LLP and its subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations.

In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle.…