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Senior Specialist, Federal Data Science

Job in McLean, Fairfax County, Virginia, USA
Listing for: National Science Teachers Association
Full Time position
Listed on 2026-07-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 150000 USD Yearly USD 90000.00 150000.00 YEAR
Job Description & How to Apply Below

Position Overview

KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.

Responsibilities
  • Collaborate 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
  • Perform explanatory data analysis, generate / test working hypotheses, prepare / analyze historical data, and identify data patterns
  • Perform machine learning, natural language, and statistical analysis methods
  • Contribute to developing dashboards, UI and interactive tools to support clients turn their data into actionable insights / reproducible reports
Qualifications
  • A minimum of three years of technical data science experience; U.S. Federal government consulting experience preferred
  • Bachelor's degree from an accredited college/university
  • Proficiency with programming languages such as Python, R, Java, SQL, and their open-source packages / libraries
  • Experience in developing Deep Learning models (e.g. CNN, Recurrent, etc.) and its applications (e.g.

    - object detection, text recognition, language modeling, etc.) and tools (e.g.

    - Tensor Flow, PyTorch, Keras, Fast.ai, etc.)
  • Familiarity with big data open-source tools (e.g.

    - Spark, Hadoop, Kafka, etc.) and open-source web frameworks / UI Platforms (e.g.

    - Flask, Shiny, Django, Dash)
  • Experience leveraging cloud services in technical data environments
  • Ability to travel as required to support firm engagements
  • Applicant must possess a U.S. Government Secret clearance
Benefits and Compensation

KPMG offers a comprehensive compensation and benefits package, including medical, dental, vision, disability, and life insurance, a 401(k) plan, and personal well-being benefits. Personal Time Off and holiday breaks are also provided. Salary ranges are displayed separately for each location.

Equal Opportunity Employment

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.

Compliance Statement

Los Angeles County applicants:
Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation.

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Position Requirements
10+ Years work experience
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