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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Specialist, Federal Data Scientist - **Company:** Kpmg LLP - **Location:** Washington, DC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Optical Character Recognition (OCR), Computer Vision, Cloud Computing, Cluster Analysis, Continuous Delivery, Extract Transform Load (ETL), R (Programming Language), Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Object Detection, Operational Data Store, Open Source Technology, Tensorflow, SQL Databases, Unstructured Data, Pytorch, Delivery Pipeline, Deep Learning, Keras, Data Analytics, Feature Selection, Machine Learning Operations, Programming Languages - **Published:** August 22, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18034444?backUrl=%2Fcareer%2F18034444%2FSenior-Specialist-Federal-Data-Scientist-D-C-Washington ## About the Role * A minimum of three years of experience in developing machine learning models (predictive models, classification, cluster analysis, time series and forecasting, regularization, feature selection, NLP, computer vision, anomaly detection, etc.) * Bachelor's degree from an accredited college/university; MBA or MIS from an accredited college/university preferred * Ability to apply artificial intelligence and machine learning techniques to achieve concrete business goals * Proficiency with programming languages such as Python, R, Java, SQL, and their open source packages/libraries * Background in developing Deep Learning models (e.g. CNN, Recurrent, etc.) and its applications (object detection, text recognition, language modelling, etc.) and tools (e.g. TensorFlow, PyTorch, Keras, Fast.ai, etc.) * Ability to travel as required to support firm engagements * Applicant must possess or be eligible for a U.S. Government clearance ## Description * Collaborate with multi-disciplinary and cross-functional teams to identify business opportunities and develop machine learning and data science solutions * Utilize processes and best practices to plan, lead, and execute delivery of data analytics and AI engagements for state and federal government clients to manage risks, set expectations, and ensure successful delivery of projects * Work with clients and team leads to discover data sources and create data requests; collaborate with data engineers to develop and utilize the ETL process to ingest and enrich structured and unstructured data - leveraging a variety of data sources such as social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data * Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns * Build and manage production-ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration and model management in cloud environment ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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