743 Data Human Resources jobs in Washington,DC

Rockville, MD or the immediate area
Valid driver's license with the ability to travel overnight (5 to 7 nights average of overnight travel monthly)
High School diploma or GED required, college preferred
Two years or more of applicable experience in: floorplan auditing, banking/financial services, automotive, customer service, field services or related industry
Basic computer literacy required

Guidehouse Careers

Arlington, VA 22204

BOOZ, ALLEN & HAMILTON

Washington, DC 20011

7+ years of experience in a product design or UX design field, displaying a portfolio of shipped products
Experience designing for AI, LLM, chat, or agentic products, including streaming responses, citation and source display, tool-call visibility, and for uncertain or probabilistic output
Experience across the full design process, including research, interaction design, and visual or UI design
Experience with modern design tools such as Figma, including components, prototyping, and design systems
Experience planning and running interviews and usability tests, and turning findings into decisions
Experience shipping complex, interactive products in high-velocity environments where you owned the experience end-to-end
Knowledge of industry best practices and design patterns specific to agentic AI, including agent transparency, controllability, human-in-the-loop, and multi-agent workflows
Ability to pay strict attention to detail with a high bar for quality and commitment to accessibility, including WCAG or Section 508
Ability to be a self-starter and clear communicator who works with a high sense of urgency, gives and receives feedback well, works closely with engineers, and makes the people around them better
Bachelor's degree

Castellum

Washington, DC 20011

NETALYSIS LLC

Arlington, VA 22204

TMCI

McLean, VA 22101

Square Peg Technologies

Washington, DC 20003

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KPMG

Washington, DC 20011

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