Mid-Level Data Scientist

Who is Fusion Technology?

Fusion Technology is a performance-driven HUBZone Small Business concern residing in the heart of the beautiful mountainsides of West Virginia, steps away from the Federal Bureau of Investigation's Criminal Justice Information Services Division's Headquarters. Founded in 2007 by an Engineer-by-trade, Fusion Technology dedicates our valuable resources to providing comprehensive IT services and solutions to mission-critical US Government programs and the Intel Community.

Fusion Technology is a performance-driven HUBZone Small Business concern residing in the heart of the beautiful mountainsides of West Virginia, steps away from the Federal Bureau of Investigation's Criminal Justice Information Services Division's Headquarters. Founded in 2007 by an Engineer-by-trade, Fusion Technology dedicates our valuable resources to providing comprehensive IT services and solutions to mission-critical US Government programs and the Intel Community.

Washington, DC

An active TS Clearance is required to be considered for this position.

You have a Bachelor's Degree from an accredited college or university in a related field. At least 3-5 year of experience are required for the following:

• Strong proficiency with the Power Platform, SharePoint, and Infopath tool suite required.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. required.
• Experience with common data science toolkits, such as R, Weka, Num Py, MATLAB, etc. required.
• Experience with data science tools and software such as Microsoft Power BI, Anaconda and Statistical Package for the Social Sciences (SPSS) required.
• In absence of years of experience, certifications or past work may be used to show the level of experience needed to perform at this level.

Experience connecting to and extracting/manipulating data from the following systems strongly preferred:

• Asset Management System (AMS), Big Fix, Enterprise Process Automation System (EPAS), Facilities Integration Tool (FIT), Joint Cybersecurity Authorization and Management (JCAM), HR Source/HR Reports, Sentinel, Tenable, Unified Finance Management System (UFMS), Xacta, Microsoft Defender for Enterprise, JIRA, JIRA Service Manager, and Crowd Strike.

This position develops solutions as part of a combined IT Business Intelligence development and data science team working to integrate the Agency's business intelligence reporting capabilities, with a particular focus on IT, cybersecurity, and finance business data. In addition to traditional data science techniques. This Position works to support the developer in the creation, maintenance, and improvement of products, primarily in the Power Platform suite, that facilitate comprehensive end-to-end data collection, transform raw data into actionable business insights through statistical analysis, KPI development, PowerBI dashboarding, and proven machine learning methods, and reduce or eliminate manual effort in data processing by automating common processes.

The data scientist will propose, implement, and leverage AI and ML solutions to advance FBI's business intelligence capabilities. Data science tasks will include analysis, query, aggregation, visualization, extract/transform/load, complex statements, scripts, stored procedures, triggers, and implement business intelligence and data warehousing solutions. Mine data using state of the art methods.

• Builds, maintains, and improves dashboards, applications, and automations within the Power Platform (PowerBI, Power Automate, and Power Apps), SharePoint, and Info Path environments to reduce or eliminate manual effort in data processing by automating common processes.
• Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transforms, and load (ETL).
• Builds predictive risk models backed by statistical analysis and support data-driven solutions.
• Identifies and applies usages of AI and ML to extract key insights from unstructured system documentation for analysis, to automate of processes, and to integrate with other applications.
• Develops and carry out full-service data calls, including creation of collection applications and forms, data normalization, data cleansing, and visualization.
• Creates…