Data Scientist

Job Description

Data Scientist | COLSA Corporation

The Tone:
This is a full-time role at COLSA Corporation. This position focuses on developing and applying interdisciplinary methods, algorithms, statistics, and research techniques to create data-driven solutions. The goal is to extract knowledge, provide insights, and present information effectively from diverse structured and unstructured data sources. COLSA values its people as its most valuable resource, inviting talents to become a part of its “Family of Professionals.”

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: In-person, Huntsville, AL

• Mission: Solve problems by developing and applying interdisciplinary methods to create data-driven solutions for extracting knowledge and providing insights.
• Tech Stack: Python, C++, PyTorch, Convolutional Neural Networks (CNNs)

What You’ll Actually Do
• Data Analysis: Perform analysis of various data systems, including Big Data systems, to extract knowledge.
• Algorithmic Development: Combine synthetic and real datasets for algorithmic use, apply domain randomization, and implement multi-object tracking benchmarks.
• Sensor Data Processing: Integrate and test camera system software with video imagery, perform data fusion, and train for hyperspectral imagery segmentation and classification.
• Solution Enhancement: Apply advanced statistics, natural language processing (NLP), and machine learning (ML) to improve algorithm performance and create innovative solutions.
• Reporting & Communication: Document technical work thoroughly for both technical and non-technical stakeholders, and assist in developing data products, reports, and dashboards.

The Must-Haves
• Background: Bachelor’s degree in Computer Science, Data Science, Computer Engineering, or a closely related field.
• Experience: U.S. Citizenship required; ability to obtain and maintain a Secret security clearance within six months of hire.
• Skills: Proficiency in programming languages: Python and C++; working knowledge of deep learning frameworks, specifically PyTorch and Convolutional Neural Networks (CNNs).
• Bonus: Previous hands-on experience with drones; previous experience working with the US military or Department of Defense (DoD); familiarity with data analysis and presentation tools.