Data Scientist Position Available In Madison, Alabama

Tallo's Job Summary: Radiance Technologies is seeking a Data Scientist to join their team in Huntsville, AL. This role involves analyzing complex datasets, designing experiments, developing data pipelines, and collaborating with a multidisciplinary team to support national defense strategies. The ideal candidate will have 5+ years of experience, strong Python/R proficiency, and an active TS/SCI security clearance.

Company:
Radiance Technologies
Salary:
JobFull-timeOnsite

Job Description

Salary Confidential Data Scientist
Radiance Technologies

Occupation:

Data Scientists

Location:

Huntsville, AL – 35805
Positions available: 1
Job #: 3980448

Source:

Virginia Workforce Connection

Posted:

4/2/2025

Updated:

4/7/2025

Expires:

6/1/2025

Web Site:

Virginia Workforce Connection
Onsite /

Remote:

Not Specified

Job Type:

Regular, Full Time (30 Hours or More), Permanent Employment

Agency Job ID:
HR101414

Job Requirements and Properties Help for Job Requirements and Properties. Opens a new window. Job Requirements and Properties Help for Job Requirements and Properties. Opens a new window.

BD 60 21

Job Description Help for Job Description. Opens a new window. Job Description Help for Job Description. Opens a new window. Data Scientist

HR101414

Radiance Technologies is a 100% employee-owned company where innovation, ownership, and collaboration are at the core of everything we do. We offer a standout benefits package—including competitive salaries, full health/dental/vision/life insurance, a generous 401(k), tuition reimbursement, and a supportive, growth-driven work environment. We’re looking for a Data Scientist to join our Enhanced Modeling and Simulation (M&S) team. In this role, you’ll work alongside a multidisciplinary team of software engineers, fellow data scientists, and operations research analysts to support the Joint Warfare Analysis Center and other Department of Defense and Intelligence Community missions. If you’re passionate about extracting insights from complex data, applying cutting-edge machine learning techniques, and helping shape national defense strategies, this is your opportunity to make a difference. Key Responsibilities Collect, explore, and analyze complex datasets from multiple sources to uncover actionable trends and insights
Design experiments and perform statistical modeling, including testing and validation of predictive algorithms
Develop scalable, cloud-enabled data pipelines and automation for efficient model deployment
Create custom algorithms to solve analytical challenges with incomplete or high-dimensional data
Visualize and communicate data-driven findings to technical and non-technical stakeholders, including business and IT leaders
Build web-based data prototypes and dashboards to support decision-making
Collaborate with database engineers and M&S experts to refine data management workflows and best practices
Contribute to the development and implementation of advanced data access tools, and train team members on new or enhanced systems Required Skills Strong communication skills and ability to translate complex findings into clear, actionable insights
Self-starter with a collaborative mindset and high attention to detail
Active TS/SCI security clearance required Required Experience Minimum 5 years of experience in data science, analytics, or a related field
Expertise in data normalization and handling large, complex, or incomplete datasets
Strong proficiency in Python and/or R (VBA or MATLAB experience a plus)
Experience visualizing analytical results and building compelling dashboards
Familiarity with constructive simulation systems (e.g., AFSIM, ITASE, NGTS)
Proven ability to perform advanced statistical modeling and experimentation Desired Qualifications • Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, or a related discipline
(with at least 30 semester hours in mathematics, statistics, or computer science) Experience developing or enhancing cloud-based data solutions
Strong knowledge of data imputation techniques and applied machine learning
Familiarity with defense-related analytics or operational modeling preferred

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