Job Description:

Senior Data Scientist - JBLM Fort Lewis-McChord, Washington

Job ID

2021-5917

Overview

For more than 30 years, NCI Information Systems has been a leading provider of digital transformation solutions and services to U.S. government agencies. With its Empower platform, NCI is at the forefront of implementing artificial intelligence (AI) solutions to solve the government's most complex mission challenges. Headquartered in Reston, Va., NCI is accelerating public sector AI adoption to create a government workforce that is exponentially more creative and productive. For more information, visit www.nciinc.com.

NCI takes very seriously its duty of care for protecting the health and welfare of our employees, our customers, and our communities. For that reason and in compliance with Executive Order 14042 on Ensuring Adequate COVID Safety Protocols for Federal Contractors, NCI has adopted a COVID-19 VACCINATION POLICY that requires all employees of NCI to be fully vaccinated against the COVID-19 virus by December 8, 2021, subject to accommodation for disability (including a medical condition) or a sincerely held religious belief. Vaccination (or an approved accommodation) will become a condition of employment as of that date. Employees and applicants may request an accommodation under Title I of the Americans with Disabilities Act (Medical Accommodation) or Title VII of the Civil Rights Act of 1964 (Religious Accommodation) by contacting Human Resources at accommodations@nciinc.com.

Responsibilities

NCI: As a Senior Data Scientist, you will provide services in support of the United States (U.S.) Army Cyber Command's (ARCYBER), supporting Multi-Domain Task Force - Pacific (MDTF-Pacific). Part of a specialized team of highly skilled engineers and data scientists to collect, ingest, process, analyze, visualize, and share data in support the United States Indo-Pacific Command (USINDOPACOM). The team will be responsible for the assembly of infrastructure within a cloud environment that is scalable, highly available, and adaptable with multiple environments that take advantage of managed services in the cloud.

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. Has the 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. Has the 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.

Capable of building Python scripts and packages that will be used by the data analysts. The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.), and network analysis (social network analysis, centrality analysis, dynamic network analysis). Must have expertise in maintaining and deploying a notebook-based data science environment (JupyterHub). Must have experience in advanced Python data science packages (pandas, networkx, scikit-learn, pyTorch or TensorFlow/Keras, matplotlib or plotly, etc.)

Work location is Joint Base Lewis Mcchord with the Multi-Domain Task Force, Building 3360

Work schedule is Monday-Friday, from 8 am - 5 pm.

Qualifications

MINIMUM REQUIREMENTS:

Clearance: TS/SCI clearance

• Education: BA 7-12 years


• Certification (Baseline): DoD8570.01 IAT II (One of the following or higher (CCNA Security, CySA+, GICSP, GSEC, Security+ CE, CND, SSCP))

PHYSICAL REQUIREMENTS:

This position requires the ability to perform the below essential functions:

• Sitting for long periods


• Standing for long periods


• Ambulate throughout an office


• Ambulate between several buildings


• Stoop, kneel, crouch, or crawl as required


• Travel by land or air transportation 10%

About NCI

It is the policy of NCI to provide equal opportunity in recruiting, hiring, training, and promoting individuals in all job categories without regard to race, color, religion, national origin, gender, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other protected class or category as may be defined by federal, state, or local laws or regulations. In addition, we affirm that all compensation, benefits, company-sponsored training, educational assistance, social, and recreational programs are administered without regard to race, color, religion, national origin, gender, age, disability, genetic information, veteran status, sexual orientation, or gender identity. It is our firm intent to support equal employment opportunity and affirmative action in keeping with applicable federal, state, and local laws and regulations. NCI is a VEVRAA Federal Contractor.

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