Data Scientist Skill Level 3 - VV-1528

Nyla Technology Solutions

$152K — $180K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active Security Clearance at the TS/SCI Polygraph level required
  • Bachelor's Degree in Data Science, Computer Science, Network Engineering, or a related field with 7+ years of relevant experience, or a Master's Degree with 5+ years, or a High School Diploma with 11+ years of relevant experience
  • Advanced proficiency in Python for data handling and modeling
  • Experience with Apache Spark for large-scale dataset management
  • Strong knowledge of network protocols and packet-level analysis

Responsibilities

  • Manage and optimize large-scale data flows using Python and Apache Spark
  • Analyze complex network traffic to extract actionable insights
  • Transform raw telemetry data into high-value information
  • Bridge the gap between network event data and high-impact data science solutions
  • Dissect intricate protocol behaviors to enhance data understanding

Benefits

  • Comprehensive benefits package
  • Opportunities for professional development
  • Work within a collaborative and supportive team environment
  • Engagement in high-impact projects with cutting-edge technologies
Full Job Description
Job Description

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

Ready to turn massive datasets into actionable intelligence? In this role, you'll own large-scale data flows using Python and Spark while applying deep network protocol expertise. Bring your data processing skills and let's achieve more together!

In this role, you will bridge the gap between complex network traffic and high-impact data science. You'll leverage Python and Apache Spark to interrogate massive datasets, dissect intricate protocol behaviors, and refine large-scale dataflows. If you thrive on wrestling with big data, analyzing continuous network events, and shaping raw telemetry into high-value insights, you'll fit right in with Team Nyla.

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

  • Big Data & Analytics: Demonstrated hands-on experience working comfortably with massive, large-scale datasets using Apache Spark.
  • Python Development: Advanced proficiency with Python for data manipulation, statistical modeling, and pipeline development.
  • Network & Protocol Analysis: Strong background in network communications, packet-level analysis, and a deep technical understanding of network protocols.
  • Data Processing Concepts: Practical understanding of data architecture, batch and stream processing, and querying multi-source data environments.


Education: Bachelor's Degree in Data Science, Computer Science, Network Engineering, or a related technical discipline, PLUS 7+ years of professional experience in data science, network analysis, or data engineering OR Master's Degree in a related field, PLUS 5+ years of professional experience OR High School Diploma / GED, PLUS 11+ years of relevant hands-on technical experience in lieu of a degree.

Desired Skills

ETL Architecture: Hands-on experience constructing, optimizing, and maintaining complex ETL pipelines and continuous dataflow mechanisms.

Stream & Pipeline Engineering: Familiarity with messaging platforms like Apache Kafka, Apache NiFi, or distributed storage systems.

Advanced Cyber Analytics: Practical experience creating specialized telemetry models or threat-hunting analytics from network metadata.

Agile Software Development: Experience with version control systems (Git), continuous integration/continuous deployment (CI/CD) pipelines, and collaborative software practices.

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