Data Scientist
James Scott, LLC is actively searching for an experienced Data Scientist to provide support to one of its top tier customers. The selected Data Scientist will serve in a key role and aid and support in creating automated processes to include development of workflow using both legacy and advanced tools for examination and functionality and identify and provide solutions when addressing Department of Defense and Intel Community problems. Selected candidate must be highly passionate to work on modern architectures.
Duties and Responsibilities:
Engage with both structured and unstructured datasets in a modeling and analytics context to develop efficient processes for evaluating complex data sources and addressing unique intelligence challenges
Lead and contribute to the creation of new solutions, as well as the enhancement of existing ones
Collaborate with stakeholders, product owners, and program managers to break down road map items into actionable tasks, provide time and resource estimates, propose solutions, and assess risk
Apply exploratory data analysis techniques to extract insights, patterns, and correlations from complex datasets
Integrate math, coding, and analytics to derive actionable insights for decision-makers
Research and apply optimization frameworks and strategies to inform both data management and analytical activities
Use big data tools to process and interpret diverse datasets, generating meaningful insights
Conduct peer reviews to raise the quality of workflows and analytical approaches
Mentor team members and contribute to building a high-performing, technically skilled workforce
Required Qualifications:
8-10 years of related experience; Additional experience may substitute for education level
Active DoD TS/SCI clearance with CI Polygraph, or CI Poly eligible
Experience supporting Intelligence Community
Senior to SME level ability to work with both structured and unstructured data
Notable experience in database development and data mining
Solid experience leveraging government-off-the-shelf data processing and analytics tools to modernize methodologies
Proficiency with commercial off-the-shelf statistical tools such as Tableau, MapLarge, and/or MATLAB for data visualization and complex statistical analytics
Hands-on experience with advanced analytical methods, and a track record of applying them to meet client needs
Demonstrated experience leading technical teams in solving intelligence and analytical problems
Familiarity and knowledge in specialized technology research methods to support operation needs and tasks
Geodatabase development using .NET, Python, C++, or Java
Web services architecture, design, and development
Preferred Experience:
BS or master's degree in data science or a closely related technical discipline
Background in developing and implementing AI/ML technologies and solutions
Advanced programming experience using tools such as HTML5/JavaScript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Statistical tools, ArcGIS Desktop, ArcGIS Server, ArcSDE, or ArcIMS
Experience in programming for web interfaces
Some familiarity in building and maintaining databases for GEOINT, OSINT, or SIGINT, to align with mission sets and needs
Proficiency in visualizing data through Network Analytics or Matrix, graphical data tools, and creating operational pictures that support assessments and intelligence products