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M9 Solutions

Federal IT services: software, cloud, security

Data Scientist

Data Science +1Posted on Nov 5
Full-timeWashington, DC, USA$100k - $135k

About the Job

Requirements

  • Strong proficiency with the Power Platform, SharePoint, and InfoPath tool suite.
  • Strong understanding of machine learning techniques and algorithms, including k-nearest neighbors, Naive Bayes, support vector machines, and decision forests.
  • Experience with data science toolkits such as R, Weka, NumPy, and MATLAB.
  • Experience with data science software such as Microsoft Power BI, Anaconda, and the Statistical Package for the Social Sciences (SPSS).
  • An active Top Secret security clearance is required.
  • Certifications or past work may demonstrate the required level of experience in the absence of years of experience.

Responsibilities

  • Build, maintain, and improve dashboards, applications, and automations in Power Platform tools (Power BI, Power Automate, and Power Apps), SharePoint, and InfoPath to automate common data-processing processes and reduce or eliminate manual effort.
  • Connect to and leverage application programming interfaces, system-to-system connections, and manual data transfers as part of business intelligence extract, transform, and load processes.
  • Build predictive risk models supported by statistical analysis and data-driven solutions.
  • Identify and apply artificial intelligence and machine learning to extract insights from unstructured system documentation, automate processes, and integrate with other applications.
  • Develop and carry out 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 methods and tools for assessing cybersecurity, financial, and strategic risk at information system, division, branch, and enterprise levels.
  • Research and recommend business data storage and integration solutions suited to the client's IT environment.
  • Develop user guides and documentation for business intelligence products.
  • Design new approaches to handle, analyze, and use large datasets.
  • Resolve complex data and storage issues.
  • Analyze results and report actionable recommendations.
  • Incorporate data science tools, including SQL, R, and Python scripting, into existing and new services.
  • Identify, understand, and connect new sources of business intelligence from enterprise holdings to answer leadership's business intelligence questions.
  • Propose, implement, and use artificial intelligence and machine learning solutions to advance business intelligence capabilities.
  • Perform data science tasks including analysis, querying, aggregation, visualization, extract/transform/load, 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 requests from internal and external customers; develop service request portals, dashboards, and visualizations integrating business data from SharePoint, applications, files, and internal and external sources; create and maintain Power Automations; integrate AI/ML into business intelligence reporting; cleanse and curate datasets; redevelop a quantitative cybersecurity risk assessment tool; and develop additional quantitative risk assessment tools.

Desired Qualifications

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

About the Company

M9 Solutions

Federal IT services: software, cloud, security

M9 Solutions provides IT services and solutions to the Federal Government. It focuses on software development, cloud migration and infrastructure, cybersecurity, data delivery, and data analytics. Its products and services work by mobilizing skilled people and technologies to design, build, secure, and operate digital systems that improve performance and enable modern, sustainable change for government agencies. The company differentiates itself through its combination of domain expertise in federal IT, a focus on secure and stable technology delivery, and its commitment to delivering the digital future by aligning talent with mission needs. The goal is to help public sector organizations achieve better outcomes, resilient operations, and ongoing modernization.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Arlington County, VA
Founded
2007

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