Data Scientist, Level 2 at Independent Software

Job description

What You Will Do: At Independent Software, as a Data Scientist Level 2, you will support Advanced Weapons & Counter Proliferation (AWCP) mission activities by analyzing, manipulating, and visualizing complex data. You will apply data science and analytical techniques to help identify patterns, relationships, and information relevant to mission requirements. This position is well suited for an analyst who enjoys working with complex data and developing effective ways to analyze and communicate technical information. Key Responsibilities: • Analyze and interpret complex mission data to identify patterns, relationships, trends, and actionable insightsManipulate, organize, and analyze complex datasets • Develop data visualizations to communicate analytical findings • Identify patterns, relationships, trends, and anomalies within data • Apply analytical and computational techniques to mission-specific data • Support access and technology discovery activities • Research and correlate information from multiple data sources • Develop analytical methods and workflows to support mission requirements • Document analytical methodologies and findings • Collaborate with technical and mission teams to support operational objectives Required Skills and Qualifications: • Experience with data analysis, data manipulation, and data visualization • Experience working with complex datasets • Ability to identify patterns, relationships, and relevant findings within data • Experience applying analytical or computational techniques to technical problems • Strong analytical, critical-thinking, and problem-solving skills • Ability to independently research and analyze technical information • Ability to clearly document and communicate analytical findings • TechELINT data experience is a plus • Experience with access and technology discovery, including RF, VHF, or DMR, is a plus Education and Experience: Candidates must meet one of the following: • Bachelor's degree with three (3) years of relevant experience; OR • Associate's degree with five (5) years of relevant experience Degree should be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related technical discipline. Degrees in Engineering, Computer Information Systems, Physical Sciences, or other scientific disciplines with a strong computational, mathematics, or computer science background may also be considered. Candidates with other degree disciplines may qualify if they have earned a Data Science certificate from an accredited college or university. Relevant experience may include machine learning, data science, advanced analytics, statistical analysis, programming, data management, data mining, data modeling, artificial intelligence, or software engineering. Clearance Requirement: • Must possess an active TS SCI with appropriate Polygraph to be considered for this role Why Choose Independent Software: At Independent Software, our people are the mission. We’ve built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive. When you join us, you will: • Support critical national security missions that matter • Be part of a close-knit, employee-first culture where your voice is heard • Expand your skills through ongoing training, mentorship, and career development • Enjoy competitive compensation, generous benefits, and work-life balance Ready to take the next step in your career? Join us and be part of something bigger. Apply today. We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Requirements

Must-haves

This position is well suited for an analyst who enjoys working with complex data and developing effective ways to analyze and communicate technical information.
Analyze and interpret complex mission data to identify patterns, relationships, trends, and actionable insightsManipulate, organize, and analyze complex datasets
Develop data visualizations to communicate analytical findings
Identify patterns, relationships, trends, and anomalies within data
Apply analytical and computational techniques to mission-specific data
Support access and technology discovery activities
Research and correlate information from multiple data sources
Develop analytical methods and workflows to support mission requirements
Document analytical methodologies and findings
Collaborate with technical and mission teams to support operational objectives
Experience with data analysis, data manipulation, and data visualization
Experience working with complex datasets
Ability to identify patterns, relationships, and relevant findings within data
Experience applying analytical or computational techniques to technical problems
Strong analytical, critical-thinking, and problem-solving skills
Ability to independently research and analyze technical information
Ability to clearly document and communicate analytical findings
Bachelor's degree with three (3) years of relevant experience; OR
Associate's degree with five (5) years of relevant experience
Degree should be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related technical discipline.
Degrees in Engineering, Computer Information Systems, Physical Sciences, or other scientific disciplines with a strong computational, mathematics, or computer science background may also be considered.
Candidates with other degree disciplines may qualify if they have earned a Data Science certificate from an accredited college or university.

Nice-to-haves

TechELINT data experience is a plus
Experience with access and technology discovery, including RF, VHF, or DMR, is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learning

Platform: jazzhr
Effort: medium