Data Scientist

M9 Solutions•Washington, DC

21h•$60,000 - $180,000•Hybrid

About The Position

M9 Solutions is seeking a Data Scientist for a hybrid role supporting a government contract for a client located in Washington, DC. An active Top Secret clearance is required. The role builds and improves business intelligence products, automations, predictive risk models, and data-driven solutions using the Power Platform, SharePoint, InfoPath, data science tools, and AI/ML. The Data Scientist supports data collection and processing, develops visualizations and quantitative risk assessment tools, and provides actionable analysis and recommendations for organizational leaders. M9 Solutions provides IT services and solutions to the Federal Government and commercial customers. Its capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting. The position is full-time. The stated salary range is $60,000–$180,000 USD; compensation depends on factors including responsibilities, education, experience, skills, location, market data, and internal equity.

Requirements

Active Top Secret security clearance.
Strong proficiency with the Power Platform, SharePoint, and InfoPath.
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, and Decision Forests.
Experience with common data science toolkits such as R, Weka, NumPy, and MATLAB.
Experience with data science tools and software such as Microsoft Power BI, Anaconda, and SPSS.
Certifications or past work may be used to demonstrate the required level of experience in the absence of years of experience.

Nice To Haves

Experience connecting to and extracting or manipulating data from enterprise IT, cybersecurity, financial, HR, and facilities management systems.
Experience with tools such as BigFix, Sentinel, Tenable, Xacta, Microsoft Defender for Enterprise, JIRA, JIRA Service Manager, and CrowdStrike.

Responsibilities

Build, maintain, and improve dashboards, applications, and automations in Power BI, Power Automate, PowerApps, SharePoint, and InfoPath to reduce or eliminate manual data-processing effort.
Connect to and leverage APIs, system-to-system connections, and manual data transfers for business intelligence ETL.
Build predictive risk models supported by statistical analysis and develop data-driven solutions.
Identify and apply AI and ML to derive insights from unstructured system documentation, automate processes, and integrate with other applications.
Develop and carry out full-service data calls, including creating collection applications and forms, normalizing and cleansing data, and producing visualizations.
Create business intelligence analysis and visualizations for senior management, IT system owners, and organizational leaders.
Develop and improve methodologies and tools to assess cybersecurity, financial, and strategic risk at information-system, division, branch, and enterprise levels.
Research and recommend business data storage and integration solutions tailored to the client’s IT environment.
Develop user guides and documentation for business intelligence products.
Design approaches for handling, analyzing, and using large datasets, and solve complex data and storage issues.
Analyze and report results with actionable recommendations.
Use data science tools, including SQL, R, and Python, in existing and new services to advance available offerings.
Identify and connect new enterprise business-intelligence data sources to answer leadership’s questions.
Propose, implement, and leverage AI and ML solutions to advance business intelligence capabilities.
Perform data science tasks including analysis, querying, aggregation, visualization, ETL, complex statements, scripts, stored procedures, and triggers; implement business intelligence and data warehousing solutions.
Mine data using state-of-the-art methods.
Collect data for regular and ad-hoc internal and external data calls; develop and enhance service-request portals, dashboards, and visualizations integrating data from SharePoint, applications, files, and internal and external sources.
Create and maintain Power Automations supporting multiple business processes; integrate AI/ML into BI reporting; cleanse and curate business intelligence datasets.
Redevelop a quantitative cybersecurity risk assessment tool and develop additional quantitative risk assessment tools.