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Data Scientist (NiFi, DHF)
Raytheon Company | Dulles, Virginia
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Job Description

Raytheon is supporting a U.S. Government customer on a large mission critical development and sustainment program with a mission to deliver cyber capabilities to address emerging threats. Raytheon Cybersecurity and Special Missions (CSM) is seeking a Sr. Principal Data Scientist with experience in big data analytics using a variety of statistical, algorithmic, data mining and visualization techniques and tools to analyze data from various platforms and multiple disparate or integrated data sources, both structured and unstructured, and develop analytics products & solutions to meet Customer cyber security needs. Experience with MarkLogic NiFi and Data Hub Framework (DHF) for data flow management is highly desirable.

The data scientist must be comfortable working with a wide range of stakeholders and functional teams. They must have a passion for discovering solutions hidden in large data sets and presenting solutions to stakeholders to successfully accomplish our mission.

Responsibilities include but are not limited to the following:
- Interface with multiple teams, our customer and stakeholders regarding cyber security data science
- Analyze how cyber security data is gathered, stored and used within cyber security organizations
- Work with data architects, data engineers and others to define and refine framework, strategies, and actions for the ingest/capture, migration, processing, storage, analysis and visualization of significant amount of information from multiple structured and unstructured data sources
- Run advanced statistics on cyber security data using probabilities, regressions, quantitative and categorical methodologies
- Create white papers and trade studies for cyber security, data analytics and business intelligence industries
- Understand and predict data trends and patterns in the cyber security industry
- Work closely with our data analytics teams to create analytics and visualization solutions
- Stay current on new data science methods, technologies, and industry trends

Required Skills:
- U.S. Citizenship required
- Must have current Top Secret Clearance with SCI Eligibility
- Must be able to obtain DHS Suitability
- Must have a minimum of 10+ years of relevant professional experience
- Must have a cyber security background, with an understanding of how data is gathered, stored and used in within cyber security organizations
- Understand and predict data trends and patterns in the cyber security industry
- Extensive experience analyzing cyber security data
- Data hub/data flow management experience using MarkLogic NiFi and Data Hub Framework (DHF)
- Strong data analysis / data engineering skills with the ability to ingest/capture, migrate, process, store, analyze and visualize significant amount of information from multiple data sources
- Strong analytical, critical thinking, and quantitative problem-solving skills
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
- Java and Python programming
- PL/SQL, T-SQL scripts and procedures
- Oracle, Hadoop, Solr and Elasticsearch
- JBOSS, Apache, RESTful services and SOAP
- Windows, RHEL and VMware
- Relational DBMS and Lucene reverse indexing schema creation
- Data architecture, federation & mining
- Data statistics and analysis using R, Python, etc.
- Experience supporting a technology strategy / roadmap
- Possess great communication skills, both oral and written
- Must work well in an agile team environment as well as independently
- Ability to work with peers, management and stakeholders to successfully meet our customer’s mission
- Must exhibit good time management skills, independent decision making capability; focus on customer service

Desired Skills:
- Experience providing data engineering support to DHS, DOD or intelligence Customers
- At least 7 years of experience as a data scientist
- At least 5 years of data analytics and business intelligence experience
- At least 7 years of big data experience with both SQL and NoSQL data stores
- Previously experience as a cyber security analyst
- Understanding of Certification and Accreditation (NIST 800-53) processes as they apply to database technologies
- Experience with Map/Reduce technologies
- Experience with business process development and deployment
- DevSecOps and continuous integration/continuous delivery knowledge
- AWS cloud experience
- Trained in Six Sigma methodology
- ITIL knowledge and certification
- Familiarity with SAFe

Required Education and Experience:
Bachelors Degree in Computer Science, Statistics, Math or a related technical discipline and a minimum of 10+ years of relevant professional experience. Equivalent experience may be considered in lieu of a degree.

Desired Certifications:
- DODI 8570.1 Compliance at IAT Level III certification (CISA, GSE, SCNA, CISSP (or Associate) or GCIH)
- Cloudera Certified Professional (CCP): Data Scientist
- CCDH: Cloudera Certified Developer for Apache Hadoop
- CCAH: Cloudera Certified Administrator for Apache Hadoop
- CCSHB: Cloudera Certified Specialist in Apache HBase
- CSSLP Certified Secure Software Lifecycle Professional


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Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.


About Raytheon Company

Raytheon Company is a technology and innovation leader specializing in defense, civil government and cybersecurity markets throughout the world. With a history of innovation spanning 92 years, Raytheon provides state-of-the-art electronics, mission systems integration and other capabilities in the areas of sensing; effects; and command, control, communications and intelligence systems; as well as a broad range of mission support services

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