KPMG US · 5 days ago
Specialist Director, Federal Data Science
Washington, DC
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expKPMG is a leading advisory firm experiencing rapid growth and seeking a Senior Director to join their Federal Advisory practice. The role involves leading cross-functional teams to develop data science solutions, implement data strategies, and oversee critical data science initiatives for clients.
Financial Services
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Lead multi-disciplinary / cross-functional teams to identify business opportunities, develop machine learning models, and data science solutions
Utilize best practices / processes to plan, lead, and execute delivery of data analytics and AI engagements
Support KPMG clients in designing / developing modern enterprise data strategy, evaluating existing data platforms, identifying technology / process gaps, data maturity assessment, designing roadmaps for platform modernization, technology adoptions, and digital transformation
Lead and support technical teams in developing and deploying data products and/or production-level AI and Machine Learning solutions by leveraging modern open source or enterprise ready tools / technologies
Oversee large scale, critical data science initiatives / projects, ensuring timely delivery of engagement requirements
Perform explanatory data analyses, generate / test working hypotheses, prepare / analyze historical data and identify patterns; perform machine learning, natural language, and statistical analysis methods (such as classification, cluster analysis, collaborative filtering, sentiment analysis, language modeling, time-series analysis, regression, statistical inference, etc.)
Qualification
Required
A minimum of eight years of data science / developing machine learning models; U.S. Federal government consulting experience preferred
Bachelor's degree from an accredited college/university; advanced from an accredited college/university preferred
Experience applying artificial intelligence / machine learning techniques to achieve business goals; ability to work with business to understand available resources and constraints around data (sources, integrity, definitions); provide assistance and resolve issues
Expertise with programming languages such as Python, R, Java, SQL and open-source packages / libraries
Experience leading large technical data engagements and teams
Experience developing Deep Learning Models (e.g. - CNN, Recurrent, etc.) and its applications (object detection, text recognition, language modeling, etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.)
Experience establishing data governance, model validation protocols, reproducible pipelines, and quality frameworks aligned to federal requirements
Experience in leveraging cloud services or Cloud Certification (e.g. - AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate etc.)
Ability to travel as required to support firm engagements
Applicant must possess a U.S. Government Top-Secret clearance
Benefits
Medical and dental plans
Vision coverage
Disability and life insurance
401(k) plans
Robust suite of personal well-being benefits to support your mental health
Personal Time Off per fiscal year
Calendar of holidays to be observed during the year
Two breaks each year where employees will not be required to use Personal Time Off
Company
KPMG US
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Lynne Doughtie
Former Chairman and CEO
Paul Knopp
Chair and CEO
Recent News
Australian Financial Review
2024-05-12
2024-05-07
Media OutReach
2024-04-30
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