Data Scientist Skill Level 3 - VV-1528

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 required.
  • Bachelor's degree in Data Science, Computer Science, Network Engineering, or related discipline OR 5+ years with a Master's OR 11+ years hands-on experience in lieu of a degree.
  • 7+ years of professional experience in data science, network analysis, or data engineering if holding a Bachelor's.
  • Demonstrated hands-on experience with Apache Spark for big data analytics.
  • Advanced proficiency in Python for data manipulation and pipeline development.

Responsibilities

  • Own large-scale data flows using Python and Spark.
  • Analyze and process large datasets to extract valuable insights.
  • Bridge the gap between complex network traffic and data science applications.
  • Dissect intricate protocol behaviors to inform data processing.
  • Shape raw telemetry into actionable intelligence for decision-making.

Benefits

  • Comprehensive benefits package offered.
  • Opportunities for professional development and training.
  • Collaborative team environment with a focus on innovation.
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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