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Lead Specialist, Federal Data Science

Job in McLean, Fairfax County, Virginia, USA
Listing for: National Science Teachers Association
Full Time position
Listed on 2026-07-16
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
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

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 and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health.

Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday.

Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA:

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.

attached link contains further information regarding KPMG's…

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