Java Programming, Python Programming, SQL, DevOps, Azure, PowerBI, Aartificial intelligence, Machine learning techniques, Natural Language Processing (NLP), Google Cloud Platform (GCP), spaCy, Natural Language Toolkit - NLTK, Gensim, SPARK Programming, Databricks, Statistical modeling
SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professional to fulfill their career goals and objectives while contributing to a transformation of the enterprise’s internal data management, science and architecture capabilities. This is a remote position that can be based anywhere in the US. SAIC’s Chief Data Office is seeking a Data Scientist who will utilize analytic methods and methodological tools (e.g., applied mathematics, probability and statistics, data modeling, etc.), to translate complex and technical findings into narratives and data visualizations. As a Data Scientist, you will apply qualitative and quantitative methods to the analysis of data utilizing various libraries and packages, including ETL tools, data APIs, and data services. This individual will strongly contribute to Master Data Management (MDM) implementation, automation of Knowledge Management (KM) and data quality in modern distributed data pipelines hosted in the cloud. Additionally, this resource will work in parallel to prototype block chain based technologies and prototypes to support and enable MDM and KM activities. Qualifications Required Qualifications: • Bachelor's Degree and 2+ years of expereince, Master's Degree and 0+ years of related experience. • 2+ years of demonstrated experience in one or more of the following data science activities: • Engaging customers and stakeholders to determine the nature of requirement and analytic problem, and offering IT based recommendations • Implementing IT methods and data to satisfy requirement • Developing IT solutions to enable the exploitation of databases and files • Knowledge of intelligence collection methods, capabilities, and tasking processes • Utilizing Distributed technologies such as Databricks and Apache Spark for data manipulation, data quality, modelling and statistical analysis • Translating complex, technical findings into a narrative (e.g., tell a story with the data) in graphical, verbal, or written form • Developing data visualizations utilizing Power BI • Utilizing diverse data types and identifying and extracting data from multiple sources • Conducting statistical, mathematical, geospatial modeling or data-mining analysis • Identifying, utilizing, and developing methodologies and analytic tools to address new or existing problems • Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, Information Management Systems or a related discipline • Implementing Data Quality validations and measures as a component of a data pipeline to support Data Science and Master Data Management activities Desired Qualifications: • Experience utilizing Python, Natural Language Processing (NLP) packages, such as Spacy, Gensim, and NLTK to analyze or process collections of documents • Experience maintaining source code and utilizing configuration management systems, such as Azure DevOps • Experience conducting data query and analysis utilizing rational database and query languages • Experience utilizing Azure or other cloud service provider (CSP) and their native data science capabilities • Experience utilizing Agile methodology • Experience utilizing Artificial Intelligence (AI) and Machine Learning (ML) tools and techniques • Experience developing applications for and doing analysis of block chain distributed applications
Science Applications International Corporation, Inc. is an American company headquartered in Reston, Virginia that provides government services and information technology support.
Bethesda, MD, USA
2-4 year
Chantilly, VA, USA
2-4 year
Chantilly, VA, USA
2-4 year
Chantilly, VA, USA
2-4 year
Chantilly, VA, USA
2-4 year
Fort Meade, MD, USA
2-4 year
Fort Meade, MD, USA
2-4 year
Fort Meade, MD, USA
2-4 year
Fort Meade, MD, USA
2-4 year
Houston, TX, USA
2-4 year
Huntsville, AL, USA
2-4 year
Huntsville, AL, USA
2-4 year
Maryland, USA
2-4 year
Maryland, USA
2-4 year
United States
2-4 year
Virginia Beach, VA, USA
2-4 year
California, USA
2-4 year
Colorado Springs, CO, USA
2-4 year
Herndon, VA, USA
2-4 year
Maryland, USA
2-4 year
Virginia, USA
2-4 year
Virginia Beach, VA, USA
2-4 year
Virginia Beach, VA, USA
2-4 year
Reston, VA, USA
2-4 year
California, USA
2-4 year
Washington D.C., DC, USA
2-4 year
Albuquerque, NM, USA
2-4 year
Chantilly, VA, USA
2-4 year
Point Mugu NAWC, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Fort Meade, MD, USA
10-12 year
McLean, VA, USA
10-12 year
Columbia, MD, USA
8-10 year
Arlington, VA, USA
8-10 year
Chantilly, VA, USA
12-14 year
MacDill Air Force Base, Tampa, FL, USA
6-8 year
Chantilly, VA, USA
6-8 year
Greenbelt, MD, USA
2-4 year
Greenbelt, MD, USA
4-6 year
Virginia Beach, VA, USA
4-6 year
Washington D.C., DC, USA
4-6 year
McLean, VA, USA
4-6 year
Fort Meade, MD, USA
4-6 year
Chantilly, VA, USA
4-6 year
McLean, VA, USA
10-12 year
McLean, VA, USA
4-6 year
Springfield, VA, USA
10-12 year
Reston, VA, USA
4-6 year
Chantilly, VA, USA
8-10 year
Chantilly, VA, USA
8-10 year
Fort Meade, MD, USA
8-10 year
San Diego, CA, USA
8-10 year
Omaha, NE, USA
6-8 year
Reston, VA, USA
0-2 year