Strong proficiency with Power Platform, SharePoint, and InfoPath.
Excellent understanding of machine learning techniques and algorithms.
Experience with data science toolkits like R, Weka, and MATLAB.
Familiarity with Microsoft Power BI and SPSS.
Certifications or relevant past work may substitute for experience.
Responsibilities
Build and enhance dashboards and applications within the Power Platform to automate data processing.
Leverage APIs and ETL processes for business intelligence.
Develop predictive risk models using statistical analysis.
Apply AI and ML to analyze unstructured data and automate processes.
Conduct full-service data calls, including data normalization and visualization.
Create impactful business intelligence analyses for senior management.
Research and recommend data storage and integration solutions.
Benefits
Comprehensive health and wellness programs.
Flexible work arrangements including hybrid options.
Professional development and training opportunities.
Supportive work culture focused on collaboration and innovation.
Full Job Description
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.
Responsibilities
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 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 organizational 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 client's 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.
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 organizational leadership.
Proposes, implements, and leverages AI and ML solutions to advance business intelligence capabilities.
Performs data science tasks including analysis, query, aggregation, visualization, extract/transform/load, complex statements, scripts, stored procedures, and triggers, and implements business intelligence and data warehousing solutions.
Mines data using state-of-the-art methods.
Works on data collection for regular and ad-hoc data calls for internal and external customers; develops and enhances service request portals, dashboards, and visualizations integrating business data from SharePoint, applications, files, and internal and external data sources; creates and maintains Power Automations supporting multiple business processes; integrates AI/ML into BI reporting; cleanses and curates business intelligence datasets; re-develops a quantitative cybersecurity risk assessment tool; and develops additional quantitative risk assessment tools.
Required Skills and Qualifications
Top Secret security clearance.
Strong proficiency with the Power Platform, SharePoint, and InfoPath tool suite.
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc.
Experience with data science tools and software such as Microsoft Power BI, Anaconda, and Statistical Package for the Social Sciences (SPSS).
In the absence of years of experience, certifications or past work may be used to demonstrate the level of experience needed to perform at this level.
Preferred Skills and Qualifications
Experience connecting to and extracting/manipulating data from enterprise IT, cybersecurity, financial, HR, and facilities management systems, as well as tools such as BigFix, Sentinel, Tenable, Xacta, Microsoft Defender for Enterprise, JIRA, JIRA Service Manager, and CrowdStrike.
GH 1102
Full-Time Employee Compensation
M9 Solutions' pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the position, education, experience, knowledge, skills, abilities, as well as internal equity, location, alignment with market data, applicable bargaining agreement (if any), or other law.
M9 Solutions is an IT consulting and staffing firm that provides services to clients in a variety of industries, including healthcare, finance, and government. The company offers a range of services, including project management, software development, and data analytics. M9 Solutions was founded in 2010 and is headquartered in Durham, North Carolina.
