Cornerstone Defense, in partnership with our military, intelligence, and civil government customers, supports U.S. operations worldwide through the use of many different types of intelligence, satellite, and cyber technologies. Cornerstone’s Intelligence Sector is responsible for the support and the development of products that provide solutions to the United States Government for information collection, operations, exploitation, and dissemination, and research activities. The Intelligence Sector specializes in Software Development, Cloud Architecture, Systems Engineering, and Network Engineering.
Data Scientist Reston, VA TS Eligible Individuals with a Top Secret are the target of this opening. Those with lesser clearances will be considered if they agree to upgrade their clearance. The position requires U.S. Citizenship.
We are looking for a Data Scientist to strengthen our ability to deliver unique, intuitive, and exciting analytic applications and data concepts for our innovative emerging technologies. We’re charting new territory in analytic enablement—and need imaginative and talented DS developers to provide new ways to select, see, use, and exploit data. We’re solving difficult analytic problems and empowering users through dynamic, flexible, and intuitive capabilities. We’re seeking high performing candidates to design and implement novel mechanisms that enable users to collate data, discover insights, unearth buried tidbits, and tell compelling analytic stories. This role will develop Artificial Intelligence, Machine Learning, and Deep Learning technologies, leverage advanced algorithms, and implement top-level analytic innovations. We want someone with an extensive background in data analytics development who loves to work with multi-disciplinary teams to construct truly revolutionary ways to enable analysis. We need individuals who can incorporate ideas from diverse perspectives and implement algorithms in creative ways–including ways to understand, consume, and enhance data. You’ll advocate for advancements that you know will resonate with the user. You’ll impact and influence how analysis is done.
What you’ll do (Big picture)
Help define architecture and development processes to enable advanced analytics and data science capabilities
Ingest, clean, aggregate, integrate, build, train, evaluate, and visualize large datasets from various disparate sources to identify meaningful, actionable insights
Balance between product feature development and production operational concerns to create and deploy impactful technologies
Advance capabilities through automated monitoring, feature engineering, visualization, and deployment
Distill complex algorithmic solutions into accessible demos, presentations, and capabilities for technical and non-technical audiences
Solve operational/analytic problems with robust, statistically sound scientific methodologies and creative development
Promote flexibility and creativity in working with fellow data scientists and SW engineers to build out technology solutions in ever-changing development environment
Stay atop current industry trends, best practices, and technologies
Into the details
Develop, program, troubleshoot, and debug applications that consolidate and analyze diverse, structured/unstructured big data sources
Program, innovate, and implement advanced algorithms to address practical problems and build analytic products
Develop AI/ML, DL, and data analytics capabilities by writing creative code/algorithms, performing application testing, and developing interactive data visualizations with real-time flexibility
Create content and documentation to illustrate analytic capabilities and user impact
Construct data science use cases including data aggregation, feature engineering and customization, data/result visualization, and capability deployment/implementation/monitoring
Integrate stakeholder requirements to advance existing technologies and/or develop new capabilities
Leverage cloud (OCI) technology and build models with Python and ML/DL/NLP libraries (Pytorch, Tensorflor, Bid Data, Hadoop, HBase, Spark, etc)
Enable data analysis, interpretation, and insights for technical and non-technical users
Required Skills:
Bachelor’s or Master’s degree or equivalent experience in relevant quantitative field (engineering, computer science, statistics, mathematics, AI, ML, NLP)
Minimum three (3) years of experience of software engineering, data mining, data analytics, data science, data visualizations, and/or AI/ML/DL
Proficiency in one or more coding and development languages (Python, R, Octave, Hadoop, Scala, Spark, PySpark, Java, SQL, PyTorch, OpenCV, etc)
Problem-solving aptitude and deep understanding of data structures
Self-motivation and proactive approach with excellent time management and verbal/written communication skills
Dexterity in articulating how analytic capabilities and proficiency can solve stakeholder problem sets
Demonstrated intellectual curiosity and passion about data, visualizations, and solving tough analytic problems
Creative, original, and inventive thinking
Proven ability to effectively navigate and collaborate with various groups/resources in complex environment
Ability to quickly learn new technologies, approaches, methodologies
Practical experience in developing, innovating, and applying advanced algorithms and solutioning for complex problems
Building predictive analytic products, task automation, model interpretation/visualization, and feature engineering, evaluation, and selection
Big data, Advanced Analytics, and processing engines and query languages (e.g. Spark, Kafka, SQL, Python, R, Java, C++, Scala, NoSQL)
Data collection, aggregation, warehousing, integration, analysis, and visualization
Big data processing engines and query languages (e.g. Spark, Kafka, SQL, Python, R, Java, C++, Scala, NoSQL)
Data integrity, integration, and visualization
Feature engineering, evaluation, selection, and automation
