> Markdown version of [/jobs/ext/4330740-senior-mid-level-data-scientist-active-ts-is-required-onsite-100](https://www.wearedevelopers.com/jobs/ext/4330740-senior-mid-level-data-scientist-active-ts-is-required-onsite-100). 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). --- # Senior/Mid Level Data Scientist - Active TS is required (ONSITE - 100%) - **Company:** VISUAL SOFT, INC - **Location:** Redstone Arsenal, AL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Big Data, Cloud Computing, Information Systems, Integrated Development Environments, Scrum Methodology, Data Processing, Information Technology, Software Coding - **Published:** October 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7b526b332e869dbd ## About the Role Education: Bachelor's Degree (B.S.) in Computer Science, Information Systems, Engineering, or related field Experience: Senior: 8+ years of hands-on experience Mid-Level: 5+ years of hands-on experience, Bachelor's degree in Computer Science, Engineering, or related technical field. 5+ (Mid) or 8+ (Senior) years of experience in data science experience Experience in an Agile/Scrum development environment. Excellent problem-solving, analytical, and communication skills. ## Description We are seeking Data Scientist (Senior and Mid-Level) to support secure, mission-critical data environments within a classified cloud infrastructure. These roles are fully onsite in Huntsville, AL and require an active Top Secret clearance. Key Responsibilities * Hands on Agile environment experience * Responsible for utilizing big data technologies and knowledge of data science models to analyze large amounts of data and create valuable insights. * Less visualization and analytics, more sciences (modeling, programming) * Duties include finding and designing new approaches to handling, * analyzing, and using large volumes of data sets; * exploring fundamental issues with data handling, search, and retention; * solving complex data and storage issues; * designing new software coding to improve data search processes; * designing, testing and validating the quality of the data and data processes; * and analyzing and reporting results with actionable recommendations.