Data Scientist - TS/SCI w/Poly at General Dynamics Information Technology in Mc Lean, VA

General Dynamics Information Technology

Mc Lean, VA
October 20, 2020
Apply You will be redirected to General Dynamics Information Technology's preferred application process.

Data Scientist - TS/SCI w/Poly

Type of Requisition Regular Clearance Level Must Currently Possess Top Secret SCI Polygraph Clearance Level Must Be Able to Obtain None Suitability No Suitability Required Public Trust.
Other Required None Job Family Data Science

Job Description

JITR 857 GroupV Development Team The Contractor shall provide for the tasks documented in this narrative on a best effort, Level of Effort (LOE) basis with the number of FTEs listed under labor categories. The hours shall be managed at the overall JITR level. A. Introduction The Sponsor requires a C2SAWS cloud server that will support Artificial Intelligence (AI) and Machine Learning (ML) data science operations with a user interface. The Sponsor requires technical support services for a mission-impact focused office. B. Work Requirement The Contractor team shall support the Sponsor in advancing data science and AIML innovations from lab to enterprise. The Contractor team shall provide AIML Data Science and Technical Services. The Contractor team shall communicate with stakeholders to support data science and AIML, projects and partnerships. The Contractor team shall collect, synthesize and assess data science trends and methods creating meeting summaries. The Contractor team shall draft technical reports, graphics, and summary documents to foster a collaborative data-science culture. The Contractor team shall develop programs and systems for data aggregation, data analytics, data summarization, and data visualization on structured and unstructured datasets. The Contractor team shall work closely with the Sponsor on all activities and efforts. The Contractor team shall build, develop, and maintain a C2SAWS automated workflow management system. The Contractor team shall ensure the Sponsor's data is discoverable and available. The Contractor team shall provide data science and technical services across the entire AIML pipeline. The Contractor team shall discover, ingest, prepare, label, and manage Sponsor data. The Contractor team shall develop, test, validate, manage, and deploy AIML models. The Contractor team shall provide services to label data using methods such as taggers and tagging tools. The Contractor team shall launch and maintain state-of-the-art repositories to house AIML materials such as open source data, models, algorithms, and academic literature. The Contractor team shall conduct requirements capture sessions with multiple Sponsor stakeholders. The Contractor team shall draft technical reports to capture Sponsor interactions with SMEs, stakeholders, and partners. The Contractor shall proactively offer solutions and recommendations on current and emerging technologies and design approaches. The Contractor team shall identify technology gaps in current capabilities and processes. The Contractor team shall create original concepts and theories for various projects. The Contractor team shall communicate complex technical issues into understandable concepts for mission partner audiences. Required bull bull Demonstrated experience developing using Python data analytics packages such as pandas, numpy, scipy, gensim, and scikit-learn bull Demonstrated experience working with databases such as Elastic.
Search and SQL databases bull Demonstrated experience using data pipelines and workflow technologies, such as Apache NiFi bull Demonstrated experience using task tracking and version control tools, such as GitHub and JIRA bull Demonstrated experience using AIML tools, such as Tensor.
Flow, PyTorch, and scikit-learn bull Demonstrated experience developing machine learning models on text data and structured datasets bull Demonstrated experience using visualization tools, such as Kibana, Bokeh, or Leaflet.
Folium bull Demonstrated development experience in a cloud environment such as C2SAWS bull Demonstrated experience using analytic methods and methodologies such as probability and statistics, formal modeling, and machine learning on bulk data bull Demonstrated experience with computational social sciences bull Demonstrated experience creating AIML models and natural language processing (NLP) models Desired bull Demonstrated experience using one or more of the following SQL, CC+
+ C, JAVA, HTML, CSS Java.
Script, NodeJS, D3, WebGL, Flask, Angular, Hadoop, MapReduce, Pig, HIVE, NoSQL, or Hbase Scheduled Weekly Hours 40 Travel Required Less than 10 T elecommuting Options Telecommuting Not Allowed Work Location USA VA McLean Additional Work Locations We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity.
Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

Apply You will be redirected to General Dynamics Information Technology's preferred application process.
Job Expires: November 19, 2020

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