Data Scientist

Data Scientist

On-site Location: Springfield, VA | On-Site

Clearance: TS/SCI with ability to successfully complete a CI-Polygraph examination

Elder Research Inc. is a recognized leader in data science, machine learning and AI. We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We are looking for innovative and inquisitive self-starters who enjoy understanding a problem space and building fast, efficient, and tractable data infrastructure to deliver real value for our clients.

As a Data Scientist, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, modeling and stunning data visualization for custom client applications.

Essential Functions:

• Ability to work on-site for 36-40 hours during a typical week

• Experience supporting the geospatial intelligence mission space

• At least 6 years of relevant experience*

• Relevant experience includes military service, education (Associates+), specialized training, internships, apprenticeships, and professional civilian work experience. Credit is also provided for relevant professional publications, presentations, and leadership roles in related organizations.

Roles and Responsibilities:

• Support client strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.

• Refine, enhance, and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.

• Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the government.

• Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.

• Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Conduct gap analysis on existing technologies and processes.

• Provide communication to customers on the progress for projects, processes, and emerging technologies as they become available.

• Clearly communicate data-driven findings and automation to technical and non-technical audiences.

• Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology.

• Train and integrate new tools, processes, and capabilities to be used in collection orchestration.

• Provide support for emerging requirements as assigned by the government.

Desired Skills.

• Proficiency with common data science technologies such as Python, R, SQL, Git, AWS Sagemaker, and SAS.

• Proficiency in common data science techniques or areas such as statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, NLP.

• Possesses the technical skills to carry significant load on projects

• Knowledge of data and model inputs and ability to use them effectively

• Demonstrates experience (moving towards mastery) of at least one tool, platform, or algorithm as part of a client deliverable, and works to develop experience in additional technologies

• Able to navigate the technical collaboration environment

• Proficient in data science life cycle elements (ERI's modified CRISP-DM; Agile)

About Elder Research, Inc.