Junior Data Solutions Architect, Shift5

• 1–2 years of industry experience, or equivalent practical research experience demonstrated through undergraduate laboratory research or technical coursework
• Coachability: A humble receptiveness to mentorship, guidance, direction, and constructive feedback or correction
• Ability to learn how 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 directly 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)
• Ability to obtain and maintain a U.S. Security Clearance (U.S. Citizenship required)

Desirable

• We are seeking a mission-aligned Junior Data Solutions Architect to collaborate with customers and internal stakeholders to generate critical, data-driven insights
• This role sits cross-functionally across Mission Operations, Mission Delivery, Solution Engineering, and Systems and Core Engineering, playing a pivotal role in taking complex business problems, deconstructing them into testable hypotheses, and leveraging data to deliver actionable solutions
• This is a dynamic, collaborative role requiring a "no task too small" mindset, an eagerness for mentorship, and a meticulous approach to data analysis and problem-solving
• Perform structured data analyses under senior guidance to extract actionable insights and solve key customer problems
• Utilize statistical tools and software to identify patterns, trends, and anomalies in complex data sets 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 the creation and execution of testing suites
• Translate analytical workflows into modular, reusable components for data science capabilities and services, helping generalize targeted solutions back into Shift5 core capabilities
• Collaborate cross-functionally with programmers, engineers, project leads, and internal stakeholders to identify process improvements, support system updates, and execute data strategies