5155 Data Scientist jobs in Oxon Hill,MD

Data Scientist - Experienced to Expert Level (Maryland)

National Security Agency

Forest Heights, MD 20745

ManTech

Springfield, VA 22150

Bachelor's Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field.
7+ years of progressively responsible experience in social science or workforce analytics-related fields.
Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling.
Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail.
Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL.
Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.
An active TS/SCI with the ability to obtain and maintain a Polygraph.
Must be able to remain in a stationary position 50%.
Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer.
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
Must be able to exchange accurate information in these situations.

ManTech International

Springfield, VA 22150

KPMG

Washington, DC 20004

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