# Data Scientist at M9 Solutions

> United States · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Am9solutions%3A5286625007 (read 2026-11-13).

## Facts (observed)

- Company: [M9 Solutions](https://alderhq.app/companies/m9-solutions)
- Location text: Washington, DC - Top Secret clearance required; M9 Solutions
- Where it can be done from (inferred): United States (evidence: "Location: Washington, DC - Top Secret clearance required; M9 Solutions")
- Posted: 2026-11-05 (7 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/m9solutions/jobs/5286625007
- Skills listed (inferred): Python, SQL

## Pay and sponsorship

- Posted pay: $60k–$180k per year (from the listing's pay field)
- Market band for similar posted roles (Washington DC, n 38): p25 $98k, median $119k, p75 $131k

## Description (the employer's text)

M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting.

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).

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Am9solutions%3A5286625007 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.