Data Scientist: Mid or Senior Level (Applicants must already hold a Top Secret Clearance or Higher)

Cipher Tech Solutions • Cape Canaveral, FL

3d • Onsite

About The Position

The Data Scientist will primarily work with real-world data from sensor systems, using exploratory data analysis to define and refine metrics. The role involves developing software tools to process and display data, applying data analytics, machine learning, and artificial intelligence techniques, and communicating findings and methods to technical staff across disciplines. The position is on site in Cape Canaveral, Florida; remote work is not available. Applicants must already hold a U.S. government Top Secret security clearance or higher and be U.S. citizens. The position is described as mid or senior level and requires at least five years of related professional experience.

Cipher Tech Solutions supports mission-critical work for the Department of Defense and the Intelligence Community. The company describes its work as including digital forensics and malware reverse engineering. Employment is subject to vaccinations required by applicable federal, state, and local law. The posting also states that applicants must acknowledge they have not used illegal drugs during the past twelve months, as defined in the posting.

Requirements

• Be a U.S. citizen.
• Already hold a U.S. government security clearance at the Top Secret level or higher.
• Hold a bachelor's degree or higher in an applicable field, such as Computer Science, Electrical or Computer Engineering, Mathematics, or Data Science.
• Have five or more years of professional experience related to data science.
• Be able to clearly present findings and applicable techniques to technical staff in various disciplines.
• Have the desire and ability to create software tools for processing and displaying data.
• Be familiar with data analytics, machine learning, and artificial intelligence techniques, and have general knowledge of statistics and mathematical principles such as Fourier transforms.
• Be familiar with data-processing and scientific languages such as MATLAB, R, and Python.
• Be able to work productively in a resource-constrained environment with limited access to AI tools and online resources.
• Understand data-processing efficiency and how to program within computational constraints without compromising data quality.
• Be able to interface effectively with a team both in person and online.

Nice To Haves

• Certificates are a plus but are not required.
• Experience working with sensor data such as motion, vibration, audio, temperature, and radio-frequency signals.

Responsibilities

• Work with real-world data from sensor systems.
• Use exploratory data analysis to define and refine metrics.
• Create software tools to process and display data.
• Present findings and applicable techniques clearly to technical staff across disciplines.
• Apply data-processing methods efficiently in computationally constrained environments without compromising data quality.
• Read, understand, and apply current research in data science.

Benefits

• Subsidized medical, dental, and vision insurance.
• HSA contributions.
• 401(k) matching.
• Holiday pay and paid time off (PTO).
• Monthly WAN parties and quarterly events.
• Flexible hours.
• Relocation assistance; terms and conditions are available through the careers page or recruiter.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level