> Markdown version of [/jobs/ext/4627322-mid-level-power-app-data-scientist](https://www.wearedevelopers.com/jobs/ext/4627322-mid-level-power-app-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid-Level Power App Data Scientist - **Company:** G3 INNOVATIVE SOLUTIONS LLC - **Location:** Washington, DC, United States - **Experience:** Experienced - **Salary:** $110,000 - $120,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Intelligence Development, Big Data, Cyber Security, Databases, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Visualization, Data Warehousing, R (Programming Language), Internet Security, Python (Programming Language), Machine Learning, Power BI, Application Data, Microsoft SharePoint, SQL Databases, Scripting, Microsoft Power Automate, Power Platform Integration, Information Technology, Data Analytics, Powerapps - **Published:** November 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/mid-level-power-app-data-scientist-dc--b0c13a37-4298-4fce-b1ec-d083c772b5e4 ## About the Role * Must be a U.S. citizen and currently possess an active Top Secret security clearance. * Demonstrated ability to apply data science, statistics, data analytics, and business intelligence techniques to operational problems. * Hands-on experience with Power BI and one or more Power Platform tools, including Power Apps or Power Automate. * Experience with ETL, data validation and cleansing, APIs, enterprise datasets, and data visualization. * Working proficiency with SQL, Python, R, or comparable tools for analysis, querying, and automation. * Ability to translate complex analyses and risk findings into clear insights for both technical and executive stakeholders. * Strong documentation and cross-functional communication skills. Desired: * Experience designing predictive or quantitative cybersecurity risk models. * Experience applying machine learning or AI to unstructured documents, reporting, and automated business processes. * Experience connecting SharePoint and legacy sources to modern Power Platform solutions. * Familiarity with data warehouses, data governance, and federal IT or cybersecurity reporting. ## Description Job Description: G3 Innovative Solutions is seeking a Mid-level PowerApp Data Scientist to strengthen business intelligence and advanced analytics for a federal law-enforcement customer. Working with a combined BI development and data science team, the candidate will integrate IT, cybersecurity, and financial data into decision-ready reporting, quantitative risk models, and Power Platform applications. The role blends statistical and machine-learning methods with data engineering, dashboards, business process automation, and hands-on collaboration with technical stakeholders and executive users., * Develop, maintain, and enhance Power BI dashboards, Power Apps, Power Automate workflows, SharePoint-based solutions, and related enterprise data products. * Collect, normalize, cleanse, aggregate, and integrate information from databases, files, applications, APIs, and other enterprise sources. * Build and maintain ETL processes, queries, scripts, procedures, and data models to support reliable analytics and reporting. * Apply statistical analysis, machine learning, and appropriate AI methods to identify trends, generate insights, and build predictive risk models. * Create end-to-end data calls, collection forms, automated workflows, and visualizations that reduce manual processing effort. * Develop meaningful reports for senior leaders, system owners, and division or field-office stakeholders on IT, finance, and cybersecurity performance. * Design and refine methodologies for measuring cybersecurity, financial, strategic, and system-level risk. * Explore data integration, storage, and warehousing solutions suitable for the enterprise environment. * Use SQL, Python, R, or comparable analysis and scripting tools to work with complex or large datasets. * Document analytic products, prepare user guidance, and communicate findings with actionable recommendations. * Work with stakeholders, governance teams, and cybersecurity personnel to implement approved portal changes.