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Salary: USD 90,000 - 110,000 / annual
Shift5 is building a data platform for onboard operational technology (OT) that delivers cybersecurity, predictive maintenance, and compliance capabilities to defense and commercial fleets. The company is seeking a Data Solutions Architect to collaborate with customers and internal stakeholders to generate data-driven insights that solve complex business problems.
You will work cross-functionally across Mission Operations, Mission Delivery, Solution Engineering, and Systems and Core Engineering. Your role involves deconstructing complex business problems into testable hypotheses and leveraging data to deliver actionable solutions.
Key responsibilities include:
- Perform structured data analyses under senior guidance to extract actionable insights and solve customer problems
- Utilize 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 the 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
- Collaborate cross-functionally with programmers, engineers, project leads, and internal stakeholders to identify process improvements and execute data strategies
This is a dynamic, collaborative role requiring a "no task too small" mindset, eagerness for mentorship, and a meticulous approach to data analysis and problem-solving. You will be expected to travel up to 50% of the time within the US.
REQUIREMENTS:
Required:
- 1–2 years of industry experience, or equivalent practical research experience demonstrated through undergraduate laboratory research or technical coursework
- Coachability: humble receptiveness to mentorship, guidance, direction, and constructive feedback
- Ability to break down unstructured, ambiguous, and complex problems into smaller, manageable parts
- Aptitude in a generic analytics coding language (e.g., Python, R, SQL, MATLAB)
- Data analysis skills, including the ability to identify 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 with a track record of clearly and efficiently presenting technical information to non-technical audiences
- Confidence to admit when you're wrong and ask for help
- Ability and willingness to travel up to 50% of the time (US only)
Preferred:
- Demonstrated experience contributing to end-to-end, guided project execution from problem definition to final deliverable
- Exposure to time-series data analysis
- Foundational formal education in data science or a related field (with emphasis on linear algebra, computation, and statistics)
- Industry exposure in defense, aerospace, cybersecurity, or mechanical engineering
