> Markdown version of [/jobs/ext/1203282-data-scientist-i](https://www.wearedevelopers.com/jobs/ext/1203282-data-scientist-i). 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). --- # Data Scientist I - **Company:** Knowesis Inc. - **Location:** Alexandria, VA, United States - **Experience:** Starter - **Salary:** $90,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Microsoft Word, Microsoft Excel, Data Analysis, Cloud Database, Data Governance, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, R (Programming Language), SPSS (Software), Python (Programming Language), Machine Learning, Microsoft Office, Microsoft SQL Server, Natural Language Processing, Power BI, SAS (Software), Data Processing, Microsoft Power Automate, Large Language Models, Apache Spark, Pyspark, Data Analytics, Low-code, Data Pipelines, Powerapps, Databricks - **Published:** July 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=36db35ff5dacaf3e ## About the Role * Bachelor's degree in quantitative science, social science, or a related discipline. * Basic proficiency with the suite of Microsoft Office programs, including Word, Excel, and Access. * Basic proficiency with commonly used statistical software applications such as SPSS, SAS, Python, and R-Shiny. * Be able to read, write, and speak English fluently and clearly to effectively communicate with all personnel they will interact with. * Possess excellent verbal, written, interpersonal communication, presentation skills, and shall be highly detail oriented. * Possess sufficient initiative, interpersonal relationship skills, and social sensitivity such that they can relate constructively to a variety of contacts from diverse backgrounds., * Certification or documented experience with Human Performance. * Experience working with Special Operations, athletics/sports, or other military settings. * Strong technical and analytical skills in the following: + SQL Server, Databricks, Apache Spark (PySpark), Python, Power BI, Power Apps, and Power Automate * Knowledge of ETL/ELT development, dimensional data modeling, data governance, machine learning, statistical analysis, NLP, large language models (LLMs), retrieval-augmented workflows, and data pipeline orchestration. * Experience supporting enterprise analytics, dashboard development, predictive modeling, and low-code automation solutions in Microsoft and cloud-based data environments preferred. ## Description * Conducts data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling more informed analytic decisions. * Enter and analyze data within government systems. Aggregate data sets across numerous applications and develop trend analysis. Create products demonstrating these trends. * Modify and update existing data sources to provide relevant program related outcome metrics. * Maintain dashboards to automate data analysis, identifying, interpreting, and presenting trends, designed to record POTFF-related programmatic data. * Assist the POTFF staff with survey design. Create, analyze, and report survey data. * Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data related to POTFF programs and initiatives. * Work in consultation with POTFF program staff and the Government's POTFF biostatistician. * Provide subject matter expertise in the areas of program evaluation, research methodologies, and data analysis. * Be able to use statistics/modeling tools and data visualization techniques to provide an accessible way to see and understand trends, outliers, and patterns in data to produce reports and presentations that accurately convey data trends supporting the mission. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Reimagining app development with Low-code and AI](https://www.wearedevelopers.com/videos/1651-reimagining-app-development-with-low-code-and-ai) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)