We will specifically be looking for Applied Data Scientists that exhibit the following characteristics:
- Strong Communication: Able to clearly explain a past technical project in 1–2 minutes to a non-technical audience, including the business problem, approach, and measurable impact.
- AI-Enabled Development Workflow: Actively uses AI-assisted development tools (e.g., Claude, GitHub Copilot) as part of daily technical workflows for coding, debugging, documentation, or prototyping.
- Independent Technical Leadership: Demonstrated experience independently owning and delivering complex technical solutions in fast-paced environments, including problem framing, technical decision-making, and execution using physics-based modeling, machine learning, optimization, and/or AI techniques.
- Cross-Functional Development Experience: Experience working on cross-functional teams involving both Data Science and Software Engineering, including collaboration on production systems, deployed models, or shared technical deliverables.
- Business Impact and Industry Experience: 10+ years of experience in industry (preferably including energy, utilities, industrials, logistics, or other operational domains) with demonstrated examples of measurable business impact from technical work.
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