Senior Cyber Analytics Engineer

Nyla Technology Solutions•Annapolis Junction, MD

3d•$152,000 - $180,000

About The Position

As a Data Scientist / Computer Scientist on Team Nyla, you will use technical creativity and analytical curiosity to advance system capabilities. Working with engineers and operations experts, you will apply innovative techniques to uncover patterns in massive, complex data holdings. You will design and integrate AI, machine learning, and automation workflows to scale data analytics and generate actionable conclusions at mission speed. An active TS/SCI clearance with a polygraph is required. The annual base salary range is $152,000–$180,000 USD, excluding discretionary bonus compensation and benefits. Actual compensation may vary based on geographic location, work experience, education, skill level, and other factors.

Requirements

Active security clearance at the TS/SCI polygraph level.
Demonstrated ability to apply data science, statistical, and algorithmic techniques to large, complex data holdings.
Practical familiarity with the relevant domain; the posting does not specify the domain further.
Proven experience designing and implementing AI, machine learning, or automated analytical workflows.
Strong coding skills in modern data science languages such as Python, R, or C++.
One of the following education and experience combinations: a bachelor’s degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline and 7+ years of professional experience in data science, NLP, or software engineering; a master’s degree in a related field and 5+ years of relevant professional experience; or a high school diploma/GED and 11+ years of specialized technical experience in lieu of a degree.

Nice To Haves

Experience building, fine-tuning, or deploying Large Language Models or NLP tools against operational data.
Familiarity with distributed computing and big data processing frameworks such as Apache Spark or PySpark.
Track record of building automated operational tools, microplugins, or analytic workflows for complex mission environments.
Ongoing involvement in continuous learning, prototype development, or emerging technology exploration.
Outstanding communication skills and a collaborative, team-first mindset.

Responsibilities

Apply data science, statistical, and algorithmic techniques to identify patterns, anomalies, and insights in large, complex data holdings.
Design and implement AI, machine learning, or automated analytical workflows to scale analytics and produce automated conclusions.
Use programming languages such as Python, R, or C++ for exploratory data analysis, algorithm prototyping, and tool integration.
Design and integrate analytics and automation workflows to generate actionable conclusions for mission needs.