Lead Specialist, Federal Data Science

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