Data Scientist, Level 3

Independent Software, Inc.

$112K — $135K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree with 6+ years of experience, Bachelor's with 8+, or Associate's with 10+ years in a technical discipline.
  • Strong proficiency in Python and Spark for data analysis and processing.
  • Experience with scalable data-processing workflows and ETL concepts.
  • Knowledge of network and protocol analysis techniques.
  • Ability to work effectively in distributed data-processing environments.
  • Skills in data transformation, integration, and multi-source data processing.
  • Experience documenting analytical methods and collaborating with diverse teams.

Responsibilities

  • Analyze and process large-scale datasets using Python and Spark.
  • Develop scalable data-processing workflows and support their implementation.
  • Perform data transformation and integration across various data sources.
  • Apply network and protocol analysis to extract insights from complex datasets.
  • Identify patterns in network and communications data.
  • Build and maintain automated data-processing pipelines.
  • Collaborate with technical and mission teams to deliver actionable insights.

Benefits

  • Opportunity to work on complex mission requirements in a collaborative environment.
  • Engagement in cutting-edge data processing and analytical technologies.
  • Access to professional development and career advancement opportunities.
Full Job Description
What You Will Do:

As a Data Scientist Level 3 at Independent Software, you will work with large-scale datasets and distributed data-processing environments to support complex mission requirements. You will use Python, Spark, and data-processing technologies to analyze, transform, and manage data while applying a strong understanding of network and protocol analysis.

This position combines data science and large-scale data processing with network and protocol analysis.

Key Responsibilities:
  • Analyze and process large-scale datasets using Python and Spark
  • Develop and support scalable data-processing workflows
  • Perform data transformation, integration, and processing across multiple data sources
  • Apply network and protocol analysis knowledge to complex datasets
  • Analyze network and communications data to identify patterns, characteristics, and relationships
  • Develop and maintain automated data-processing pipelines
  • Support distributed data-processing environments
  • Perform data analysis and develop technical solutions supporting mission requirements
  • Document analytical methods, processes, and findings
  • Collaborate with technical and mission teams to deliver actionable results


Required Skills and Qualifications:
  • Analyze and process large-scale datasets using Python and Spark
  • Develop and support scalable data-processing workflows
  • Perform data transformation, integration, and processing across multiple data sources
  • Apply network and protocol analysis knowledge to complex datasets
  • Analyze network and communications data to identify patterns, characteristics, and relationships
  • Develop and maintain automated data-processing pipelines
  • Support distributed data-processing environments
  • Perform data analysis and develop technical solutions supporting mission requirements
  • Document analytical methods, processes, and findings
  • Collaborate with technical and mission teams to deliver actionable results
Experience with ETL, dataflow, and data-processing workflows is a plus

Education and Experience:

Candidates must meet one of the following:
  • Master's degree plus six (6) years of relevant experience; OR
  • Bachelor's degree plus eight (8) years of relevant experience; OR
  • Associate's degree plus ten (10) years of relevant experience

Degree must be in Computer Science, Computer Engineering, Information Systems, or a related technical discipline.

Clearance Requirement:
  • Must possess an active TS SCI with appropriate Polygraph to be considered for this role


Ready to take the next step in your career? Join us and be part of something bigger.

Apply today.

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