> Markdown version of [/jobs/ext/574949-lead-specialist-federal-data-science](https://www.wearedevelopers.com/jobs/ext/574949-lead-specialist-federal-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Specialist, Federal Data Science

- **Company:** Kpmg LLP
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Data Analysis, Optical Character Recognition (OCR), Microsoft Azure, Cloud Computing, Continuous Delivery, Information Engineering, Extract Transform Load (ETL), Data Visualization, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Language Modeling, Object Detection, Operational Data Store, Cloud Services, Tensorflow, Azure Machine Learning, Scala (Programming Language), SQL Databases, Tableau (Software), Technical Data Management Systems, Unstructured Data, Data Processing, Pytorch, Delivery Pipeline, Apache Spark, Deep Learning, Keras, Containerization, Kubernetes, Data Analytics, Qlikview, User Generated Content, Machine Learning Operations, Tools for Reporting, Docker, Alteryx, Programming Languages
- **Published:** June 16, 2026
- **Apply:** https://diversityjobs.com/career/17279704/Lead-Specialist-Federal-Data-Science-D-C-Washington

## About the Role

* 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 / QlikView
 * Experience developing Deep Learning models (e.g. - CNN, Recurrent, etc.) and their applications (object detection, text recognition, language modeling etc.) and tools (e.g. - TensorFlow, 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 lifecycles, 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

## Description

* 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 lifecycles, 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


## Related Videos

- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)