634 Scientist Process Development jobs in Washington,DC

Gartner

Arlington, VA 22209

United States Army

Washington, DC 20011

KPMG

Washington, DC 20008

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

KPMG

Washington, DC 20001

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

Vantor

Reston, VA 20190

Current/active TS/SCI security clearance and be willing and able to obtain CI polygraph.
5 years of professional experience in data science, analytics, or data engineering roles.
Bachelor's degree in data science, computer science, engineering, statistics, GIS, or related discipline. Degree may be substituted with an additional 2 yrs of experience.
Strong coding proficiency in Python and SQL, with experience writing production-quality, maintainable code; working knowledge of R is a plus.
Hands-on experience with data manipulation, feature engineering, machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow), and automation tools.
Experience contributing to full-cycle data projects, including data preparation, modeling, validation, and reporting.
Ability to clearly communicate technical concepts and analytical results in writing and verbally.
Familiarity with NLP and LLM concepts, including practical experience applying pre-trained models (e.g., GPT-style models) for automation, summarization, or search.
Ability to work effectively in a collaborative environment, taking direction and feedback while owning assigned technical tasks.
This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI Polygraph.
To be eligible for thisposition, you must be a U.S. Citizen.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).