Data Scientist Skill Level 3 - VV-1551

Nyla Technology Solutions

$152K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active security clearance at the TS/SCI polygraph level is mandatory.
  • Bachelor's Degree in a related technical field along with 7+ years of experience, or a Master's Degree with 5+ years, or a High School Diploma/GED with 11+ years of specialized experience.
  • Expertise in data science and analytics methods to reveal insights in complex data.
  • Experience with AI and automation for scaling analytics processes.
  • Proficiency in modern programming languages such as Python, R, or C++.
  • Familiarity with large language models (LLMs) or NLP tools is desirable.

Responsibilities

  • Leverage data science techniques to extract valuable insights from large datasets.
  • Design and implement AI and machine learning workflows to enhance data analysis.
  • Collaborate with engineers and operations teams to innovate data exploitation capabilities.
  • Integrate automation into data analytics for rapid conclusion generation.
  • Engage in continuous learning and exploration of new technologies.

Benefits

  • Comprehensive benefits package available to employees.
  • Opportunities for continuous learning and professional development.
  • Collaborative team environment with forward-thinking experts.
  • Impactful work that involves cutting-edge technology and immediate application.
Full Job Description
Job Description

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

As a Data Scientist / Computer Scientist on Team Nyla, you will bring your technical creativity and analytical curiosity to advance Computer Network Exploitation capabilities. Working alongside a team of brilliant, ever-curious engineers and operations experts, you will apply innovative techniques to uncover hidden patterns within massive, complex data holdings. By designing and integrating AI, machine learning, and automation workflows, you'll scale data analytics to generate actionable, informative conclusions at mission speed. If you are passionate about continuous learning, rapid impact, and engineering elegance, you'll fit right in.

The annual base salary range for this role is $152,000-$180,000 (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.

Required Skills

  • Data Science & Analytics: Demonstrated ability to apply innovative data science, statistical, and algorithmic techniques to identify hidden patterns, anomalies, and insights in large, complex data holdings.
  • Domain Experience: Practical familiarity.
  • AI & Automation: Proven experience designing and implementing Artificial Intelligence (AI), Machine Learning (ML), or automated analytical workflows to scale analytics and drive automated conclusions.
  • Core Programming: Strong coding skills using modern data science languages (such as Python, R, or C++) for exploratory data analysis, algorithm prototyping, and tool integration.


Education: Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, NLP, or software engineering OR Master's Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED, PLUS 11+ years of specialized technical experience in lieu of a degree.

Desired Skills

Experience building, fine-tuning, or deploying Large Language Models (LLMs) or Natural Language Processing (NLP) tools against operational data.

Familiarity with distributed computing and big data processing frameworks (e.g., Apache Spark, PySpark).

Track record of building automated operational tools, microplugins, or analytic workflows for complex mission environments.

Active involvement in continuous learning, prototype development, or emerging tech exploration.

Outstanding communication skills with a team-first, collaborative mindset.

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