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Lead Specialist, Federal Data Science

Job in Washington, District of Columbia, 20005, USA
Listing for: KPMG
Full Time position
Listed on 2026-07-15
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture.

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 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. Our Total Rewards package includes a variety of medical…

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