Lead Specialist, Federal Data Science
Job in
McLean, Fairfax County, Virginia, USA
Listed on 2026-10-25
Listing for:
KPMG
Full Time
position Listed on 2026-10-25
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice.
Responsibilities:
Lead multi-disciplinary / cross-functional teams to identify business opportunities, design / develop machine learning, and data science solutions
Utilize processes / best practices to plan, lead, and execute delivery of artificial intelligence engagements
Work with clients to understand business requirements, design solutions utilizing data analytics solutions, and work with data engineers to develop / utilize ETL process to ingest structured / unstructured data Leverage a variety of data sources such as social media, internal / external documents, images, video, financial data, and operational data to develop cutting-edge data-driven products
Design / perform explanatory data analysis, develop, manage, and execute data analytics experimentations
Build / manage production-ready data science product life cycles, continuous delivery and automation pipelines (MLOps), orchestration / model management in cloud environment; cluster large amount of user generated content / process data in large-scale environments using Amazon EC2, STorm, Hadoop, Spark, etc. Design / develop dashboards, UI and interactive tools to support clients to turn their data into actionable insights / reproducible reports
Qualifications:
A minimum of five years of technical data science experience; U.S. Federal government consulting experience preferred
Bachelor's degree from an accredited college/university
Experience applying artificial intelligence techniques to achieve business goals
Proficiency with analytics tools and programming languages such as Python, R, Java, Scala, Spark, Hadoop, Alteryx, SQL; data visualization tools such as Tableau / Qlik View Experience developing Deep Learning models (e.g.
- CNN, Recurrent, etc.) and their applications (object detection, text recognition, language modeling etc.) and tools (e.g.
- Tensor Flow, PyTorch, Keras, Fast.ai, etc.)Experience leveraging cloud services or Cloud Certification (e.g.
- AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate, etc.)Experience building AI pipelines, ML development life cycles, MLOps and containerization (such as Docker, Kubernetes, MLflow, Kubeflow, TFX, etc.)Ability to travel as required to support firm engagements
Applicant must possess a U.S. Government Secret clearance KPMG LLP and its affiliates and 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 LLP 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. Available benefits are based on eligibility. Depending on job classification, standard work hours, and years of service, KPMG LLP provides a Total Rewards Package that includes 401(k) and medical and may include dental, vision, disability and life insurance, personal well-being and Personal Time Off.
Additionally, each year KPMG publishes a calendar of holidays to be observed during the year depending on your job…
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