Senior Mobile Analytics Developer

Nyla Technology Solutions; Corridor North (MD); On-site; USD 154,000 - 182,000; Full time

Job summary

Nyla Technology Solutions is seeking a Cryptologic Computer Scientist Level 2 (CoCS2) to serve as an Access Discovery and Enablement Analyst under the NESCAA TFO initiative (Office X33). You will apply Python scripting, Jupyter Notebooks, and platforms like XKS and DX to turn large data streams into actionable metrics and visual insights.

The role requires deep data analysis, mobile application characterization, and proven ability to transform raw data into operational vectors for decision

Qualifications

• Active TS/SCI polygraph clearance required.
• Experience performing deep-dive data analysis in complex environments.
• Familiarity with analytics platforms and visualization.

Responsibilities

• Perform deep-dive data analysis across target environments.
• Characterize mobile applications and enable access discovery.
• Deliver actionable metrics and visual analytics to operations.

Skills

Python scripting

Data analysis

Jupyter Notebooks

Operational analytics

Tools

Jupyter Notebooks

XKS

DX

Job description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

The Cryptologic Computer Scientist Level 2 (CoCS2) serves as an Access Discovery and Enablement Analyst within the program under the NESCAA TFO initiative (Office X33). In this role, you will perform deep-dive data analysis, mobile application characterization, and operational access discovery across complex target environments. By combining advanced scripting in Python, interactive data exploration via Jupyter Notebooks, and specialized customer platforms such as XKS and DX, you will transform high-volume data streams into actionable operational vectors, metrics, and visual analytics.

The annual base salary range for this role is $154,000-$182,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.