Data Scientist with Security Clearance

3 weeks ago


Herndon VA United States Oracle Corporation Full time
Required: Currently possess and have the ability to maintain a Top Secret/SCI clearance with a Poly
Oracle’s Government Defense and Intelligence/Consulting is looking for a Data Scientist: Developer to strengthen our ability to deliver unique, intuitive, and exciting analytic cloud 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 What you bring: -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 coding and development (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 environments -Familiarity with the intelligence community (IC) or military intelligence, with practical work experience in either -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 -AGILE, iterative, and DevOps processes -Statistics skills (distributions, testing, regression, etc) -Model interpretation, development, and techniques (statistical risk analysis, stochastic optimization, time - series forecasting)
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