SECURITY CLEARANCE: TS/SCI with Polygraphs is required. 

NOTE: Those with lesser clearance levels may be considered if they agree to upgrade their clearance status.  The position requires U.S. Citizenship.

POSITION:  Data Scientist  Developer

REQUISITION:  ORAva-DEV-01.031723

LOCATION:  Reston, Virginia

Our National Security Group is looking for a Data Scientist - Developer 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 an imaginative and talented team of Data Scientist 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 will provide impact and influence how analysis is done.

 • 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 an 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

CERTIFICATION:  n/a

Bachelor’s or Master’s degree or equivalent experience in a relevant quantitative field (engineering, computer science, statistics, mathematics, AI, ML, NLP.)

  • Masters + 3 years

  • Bachelors + 6 years

  • Associates + 8 years

  • No Degree + 9 years (have worked equivalent experience)

  • with 3 to 4 years of consulting experience preferred.

 • Minimum three (3) years of experience in 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 environments

 • 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)

 • Ability to communicate effectively. 

 • Ability to build rapport with team members and clients. 

 • Ability to travel as needed.

An experienced consulting professional who has a broad understanding of solutions, industry best practices, multiple business processes or technology designs within a product/technology family. Operates independently to provide quality work products to an engagement. Performs varied and complex duties and tasks that need independent judgment, in order to implement Oracle products and technology to meet customer needs. Applies Oracle methodology, company procedures, and leading practices.

Operates independently to provide quality work products to an engagement. Performs varied and complex duties and tasks that need independent judgment, in order to implement Oracle products and technology to meet customer needs. Applies Oracle methodology, company procedures, and leading practices. Demonstrates expertise to deliver functional and technical solutions on moderately complex customer engagements. May lead the solution design and implementation aspects of engagement(s) ensuring high-quality, integrated software solutions within constraints of time and budget. May act as the Team Lead on projects, providing coaching, guidance, and feedback to develop the skills of team members. Effectively consults with management of customer organizations. Participates in business development activities. Develops and leads detailed solutions for moderately complex projects.