Data Scientist

This position develops solutions as part of a combined IT Business Intelligence development and data science team working to integrate the customer’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 the customer’s business intelligence capabilities. Data science tasks will include analysis, query, aggregation, visualization, extract/transform/load, complex statements, scripts, stored procedures, triggers, and implementing 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 PowerApps ), SharePoint, and InfoPath 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, transform, and load (ETL).
• Builds predictive risk models backed by statistical analysis and supports data-driven solutions.
• Identifies and applies usages of AI and ML to extract key insights from unstructured system documentation for analysis, to automate processes, and to integrate with other applications.
• Develops and carries out full-service data calls, including the creation of collection applications and forms, data normalization, data cleansing, and visualization.
• Creates insightful and impactful business intelligence analysis and visualizations to be consumed by senior management, IT system owners, and Division and Field Office leaders.
• Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level.
• Researches and recommends business data storage and data integration solutions specific to the IT environment.
• Develops user guides and documents for business intelligence products.
• Finds and designs new approaches to handle, analyze, and use large data sets.
• Solves complex data and storage issues.
• Analyzes and reports results with actionable recommendations.
• Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transform, and load (ETL).
• Incorporates data science tools such as scripting (SQL, R, Python, etc.) into existing and new services to continuously advance available offerings.
• Identifies, understands, and connects new sources of business intelligence from enterprise holdings that answer key business intelligence questions from leadership.
• Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level.
• Works on data collection for regular and ad-hoc data calls for internal and external customers, develops and enhances service requests portals, dashboards and visualizations integrating business data from SharePoint, applications, files, and internal and external data sources, creating and maintaining Power Automations supporting multiple business processes, integration of AI/ML into BI reporting, cleansing, and curation of business intelligence datasets, re-development of a quantitative cybersecurity risk assessment tool, and development of additional quantitative risk assessment tools. Basic Hiring Criteria

Candidate must possess an Active Top Secret/SCI Security Clearance., * In the absence of years of experience, certifications, or past work may be used to show the level of experience needed to perform at this level.

• 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, NumPy, 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 .
• Experience connecting to and extracting/manipulating data from the following systems strongly preferred: Asset Management System (AMS), BigFix, 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 CrowdStrike.

We have an outstanding Contract position for aData Scientistto join a leading Company located in theWashington, DCsurrounding area.

Pay Rate: $52.88 - $57.69