Parsons Corporation Data Scientist in Rosslyn, Virginia
Rosslyn, Virginia, United States
Software Engineer / Data Scientist
Are you a highly motivated problem solver with experience in Natural Language Processing, Machine Learning, Artificial Intelligence, and/or Data Science?Do you like creating applications with Java and/or Python?If so, Parsons is seeking Software Engineers and Data Scientists to contribute to challenging Data Science and Analytics projects.
You will perform hands-on research, development, analysis, testing and integration of software applications.The selected candidates will collaborate with a team of engineering professionals in the following disciplines: Natural Language Processing, Information Extraction, Machine Learning, Artificial Intelligence, Deep Learning, Parallel and Distributed Computing, Big Data, Cloud Computing, Cloud Services, Scalable Architectures, Semantic Engineering, Scalable Databases, Data Fusion, Cyber Security, and Network Protocol Analysis.
Solve challenging problems to meet customer needs
Employ state-of-the-art Natural Language Processing techniques to extract information from text
Reduce data analysis time by utilizing Machine Learning and Artificial Intelligence techniques
Discover hidden relationships in data
Create well-designed, testable, and efficient code
Collaborate with team members
Participate in an Agile Development Process
Ask smart questions, take risks, and champion innovative ideas.
Education and Experience Requirements:
Bachelor’s Degree in Computer Science, Software Engineering, Data Science, Computational Science, Computer Engineering, Computer Security, Applied Mathematics, Information Science, Systems Engineering, Bioinformatics, or related field.
2+ years of related experience is required.
Experience with the following:
Java and/or Python programming
Natural Language Processing,
Machine Learning and/or
Excellent problem-solving skills
Must have the ability to travel locally and within the United States for meetings, demonstrations, and experiments as needed.
Master’s Degree focused on Natural Language Processing, Machine Learning, Artificial Intelligence, or Data Analytics
Strong Foundation in Mathematics
Excellent command of the English language
Experience with the following:
Apache NiFi, Apache Spark, Apache Accumulo, Apache HBase, Apache Hadoop, Apache Kafka, Apache Maven, Apache Gradle, Apache Rya, Apache Jena, Apache OpenNLP, Apache UIMA, Apache Groovy, Apache SVN
MongoDB, Stanford CoreNLP, GATE NLP, Stardog, Franz AllegroGraph, Word2Vec, Stanford Node2Vec, Eclipse RDF4J, Protégé, TopBraid, PyCharm, Tableau
Eclipse, Atlassian Jira, Atlassian Confluence, Atlassian Bitbucket, Atlassian Crucible, Git,
Semantic Web Standards (e.g., RDF, RDFS, OWL, SPARQL, RDB2RDF)
Parallel and Distributed Computing,
Big Data techniques,
Network Protocol Analysis.
US Citizenship is required.
Applicants will be subject to a federal background investigation and must meet eligibility requirements for access to classified information or materials.
Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBT.
For more about Parsons, visit parsons.com and follow us on Facebook , Twitter , LinkedIn , and .
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBT
Parsons is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to an individual's race, color, religion, national origin, ethnicity, union affiliation, age, sex, sexual orientation, gender identity and expression, pregnancy, employable physical or mental disability, veteran status, genetic information, immigration status, or any other basis protected by applicable laws.