What are the responsibilities and job description for the Data Scientist III position at Peraton?
Peraton’s National Programs Business Intelligence Systems & Applications Operating Unit has a need for an experienced Data Scientist to support its SITE III DO contract charged with the orchestration, sustainment, and evolution of a portfolio of mission critical applications and services supporting a major Directorate within the U.S. Intelligence Community (IC). The SITE III DO contract is designed to establish and ensure a multi-discipline approach to requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the National apparatus of Defense Intelligence, Combatant Commands, supporting Partner Nations and other Federal Agencies to ensure timely and accurate Human Intelligence (HUMINT) collection, correlation and dissemination. Our support team applies best practices in architecture design, data science, cloud services, DevSecOps and platform integration to develop, sustain and continually evolve the global U.S. human intelligence apparatus and supporting partners.
What you'll do:
The Data Scientist – Mid Level will be responsible for the following, but not limited to:
- Involved in the analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
- Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
- Handle processing and index requests against high-volume collections of data and high-velocity data streams.
- Ability to make discoveries in the world of big data.
- Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
- Ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
- Experience with software development, either an open-source enterprise software development stack (Java/Linux/Ruby/Python) or a Windows development stack (.NET, C#, C ).
- Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, SOAP and REST.
- Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar.
- Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.
- Experience with open-source textual processing such as Lucene, Sphinx, Nutch or Solr.
- Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc.
- Experience with machine learning, algorithm analysis, and data clustering.
Required Qualifications:
- Requires Bachelor's degree in related field of study with 10 or more years of experience. Additional experience may be considered in lieu of degree.
- TS/SCI with ability to pass a polygraph
- Python scripting, Pandas, Excel
- Jupyter Notebooks
- Data Analysis, Engineering and Enrichment
- Strong testing and verification skills
- Ability to work in a fast-paced, high visibility environment
- Full time work in a SCIF is required, but hours are flexible
Desired Qualifications:
- Security or other IAT II/III level certification that is currently active
- ArcGIS automation and modeling
- Experience with SAFEHOUSE web GIS platform
- Active TS/SCI w/Poly
Salary : $57,500 - $115,000
