Data Scientist - TS/SCI w/Poly at General Dynamics Information Technology

General Dynamics Information Technology
Published
September 15, 2020
Location
Mc Lean, VA
Job Type
Job Expires: 2020-12-14

Description

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 C2S/AWS 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 AI/ML innovations from lab to enterprise. The Contractor team shall provide AI/ML Data Science and Technical Services. The Contractor team shall communicate with stakeholders to support data science and AI/ML, 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 C2S/AWS 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 AI/ML pipeline. The Contractor team shall discover, ingest, prepare, label, and manage Sponsor data. The Contractor team shall develop, test, validate, manage, and deploy AI/ML 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 AI/ML 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
Demonstrated experience developing using Python data analytics packages such as pandas, numpy, scipy, gensim, and scikit-learn
Demonstrated experience working with databases such as Elastic
Search and SQL databases

Demonstrated experience using data pipelines and workflow technologies, such as Apache NiFi
Demonstrated experience using task tracking and version control tools, such as GitHub and JIRA
Demonstrated experience using AI/ML tools, such as Tensor
Flow, PyTorch, and scikit-learn

Demonstrated experience developing machine learning models on text data and structured datasets
Demonstrated experience using visualization tools, such as Kibana, Bokeh, or Leaflet/Folium
Demonstrated development experience in a cloud environment such as C2S/AWS
Demonstrated experience using analytic methods and methodologies such as probability and statistics, formal modeling, and machine learning on bulk data
Demonstrated experience with computational social sciences
Demonstrated experience creating AI/ML models and natural language processing (NLP) models
Desired
Demonstrated experience using one or more of the following:
SQL, C/C++/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%

Telecommuting 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.

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