Data Scientist

Orchard LLC; Reston (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Orchard LLC is seeking Data Scientists in Reston, VA to support a geospatial intelligence program for U.S. Government customers. You will apply AI, ML, and data science to research, develop, and implement advanced methodologies across a forward-leaning mission set.

You must be a U.S. Citizen with an active TS/SCI with CI poly. The role emphasizes collaboration with analysts, scalable analytics, and visualization of complex data for decision makers.

Qualifications

• Must be a U.S. Citizen with an active TS/SCI with CI poly.
• 8 years of experience and an advanced degree.
• Experience with Git and software development workflows.
• Proficient in Python, R, and SQL, including web services, data management, and visualization.
• Experience with statistical analysis and data mining algorithms.
• Knowledge of AI, analytics, cloud architecture, and data storage.

Responsibilities

• Collaborate with analysts to solve challenges with complex data sets, patterns, and visualizations.
• Research and implement analytic methodologies using statistical techniques and pattern recognition.
• Assist analysts in developing structured predictive intelligence approaches to improve timeliness and accuracy.
• Expand NLP capabilities and visualization.
• Advance analytic tradecraft and mitigate bias to increase rigor.
• Support automation of structured analytic methods and workflows for repeatability and scalability.
• Contribute to semantic technologies, ontologies, and knowledge graphs for OBI standards.
• Design and build visualizations and dashboards communicating insights to technical and non-technical audiences.
• Evaluate analytic performance using qualitative and quantitative metrics.

Skills

Python

R

SQL

Git

NLP

Machine Learning

AI

Cloud

AWS

Tableau

Education

Advanced degree

Tools

Apache Spark

Hadoop

Tableau

Job description

Data Scientist Reston, VA Active TS/SCI with Poly Clearance required@Orchard

@Orchard is retained by a top geospatial technology company supporting important operations missions to U.S. Government customers. Our client is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. They are a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.We’re hiring multiple Data Scientists to join our team.

In this position you will use your expertise to support the research, development, and implementation of advanced analytical methodologies and techniques that leverage artificial intelligence, machine learning, and data science approaches. Data Scientists will support a forward-leaning defense intelligence program focused on enhancing analytic rigor, efficiency, and predictive capability across a broad mission set. This includes support to Object-Based Intelligence (OBI) production, structured analytic method augmentation, and automation of analytic workflows. Data Scientists will collaborate with analysts, methodologists, and technologists to research, develop, and implement advanced methodologies that leverage artificial intelligence, machine learning, and statistical modeling to solve complex intelligence problems.

To be eligible for this position, you must be a U.S. Citizen, and hold an active U.S. Government Security Clearance at the TS/SCI level with in-scope CI Polygraph.

Responsibilities:

• Work in tandem with analysts to figure out methods to solve their challenges with complex data sets, pattern identification, and visualizations.
• Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition.
• Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments.
• Expand existing Natural Language Processing (NLP) to include new entities and improved visualization.
• Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate biases, increase analytic rigor).
• Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency.
• Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production.
• Contribute to the development and integration of semantic technologies, including ontologies and knowledge graphs, to support OBI standards.
• Design and build visualizations and dashboards that communicate complex data insights to technical and non-technical audiences.
• Evaluate and optimize analytic performance using qualitative and quantitative metrics.

Minimum Qualifications:

• Must be a U.S. Citizen and have an active TS/SCI with in-scope CI poly.
• 8 years of experience and an advanced degree.
• Experience with Git and software development workflows.
• Demonstrated experience with Python, R, and SQL, including programmatic access to web services, data management, and visualization.
• Demonstrated experience with statistical analysis and data mining algorithms.
• Possesses knowledge and experience with artificial intelligence (AI), advanced analytics, cloud architecture, and data storage.

Preferred Qualifications:

• Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts.
• Familiarity with graph databases or graph data structures.
• Ability to lead multi-disciplinary teams to complete complex data science projects.
• Experience with AWS or similar cloud provider.
• Demonstrated experience in solving problems with structured and unstructured data.
• Experienced in applying statistical and data visualization skills.
• Strong problem-solving skills to manipulate data and draw insights from large data sets.
• Proven ability to learn and master new software, technologies and techniques.
• Familiarity with generative AI and large language models (LLMs) and their strengths and weaknesses when applied to intelligence requirements.
• Experience in two or more of the following: Machine Learning, Natural Language Processing, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau.