Junior Mission Solutions Architect

Shift5

. Perform structured data analyses under senior guidance to extract actionable insights and solve key customer problems .

Posted 10/19/2026full-timeRemote • Virginia • United StatesJunior💰 $90,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong data analysis capabilities using statistical tools and coding languages such as Python, R, SQL, or MATLAB. Effectively collaborates with cross-functional teams to translate complex data insights into actionable business strategies.

Highest-signal resume keywords

Data Analysis SkillsPython ProgrammingSQL ProficiencyStatistical Tools UsageExcellent Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical ToolsPythonRSQLMATLABTime-Series Data AnalysisHypothesis TestingData ValidationModular Component Development

Soft Skills

CoachabilityInterpersonal SkillsProblem-SolvingAdaptabilityConfidence

Industry Keywords

Data ScienceDefenseAerospaceCybersecurityMechanical Engineering

Tech Stack

Tools & technologies

Cyber SecurityPythonSQL

About the role

Key responsibilities & impact

Perform structured data analyses under senior guidance to extract actionable insights and solve key customer problems
Use statistical tools and software to identify patterns, trends, and anomalies in complex datasets for diagnostic and predictive support
Assist in identifying customer problem sets, prioritizing issues, scoping solution requirements, and analyzing problem manifestations in data
Support development of testable hypotheses, identify required data sources, and assist in creating and executing testing suites
Translate analytical workflows into modular, reusable components for data science capabilities and services
Help generalize targeted solutions back into Shift5 core capabilities
Collaborate with programmers, engineers, project leads, and internal stakeholders to identify process improvements, support system updates, and execute data strategies

Requirements

What you’ll need

1–2 years of industry experience, or equivalent practical research experience demonstrated through undergraduate laboratory research or technical coursework
Coachability and receptiveness to mentorship, guidance, direction, and constructive feedback
Ability to learn how to break down unstructured, ambiguous, and complex problems into smaller, manageable parts
Aptitude in a generic analytics coding language, such as Python, R, SQL, or MATLAB
Data analysis skills, including identifying data types and technical tests required to validate hypotheses
Willingness to learn to articulate the business impact of data analysis and connect findings to decision points
Excellent communication and interpersonal skills, including presenting technical information to non-technical audiences
Confidence to admit when wrong and ask for help
Ability and willingness to travel up to 50% of the time within the US only
Preferred: Demonstrated experience contributing to end-to-end guided project execution
Preferred: Exposure to time-series data analysis
Preferred: Foundational formal education in data science or a related field, emphasizing linear algebra, computation, and statistics
Preferred: Industry exposure in defense, aerospace, cybersecurity, or mechanical engineering

Benefits

Comp & perks

Bonus program and equity in a fast-growing startup
Competitive medical, dental, and vision coverage for employees and their families
Health Savings Account with annual employer contributions
Employer-paid Life and Disability Insurance
Uncapped paid time off policy
Flexible work & remote work policy
Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)