Strong problem-solving skills, attention to detail, and eagerness to learn new tools and technologies.
Ability to work independently with minimal supervision.
Requirement: Candidates must submit a portfolio of past web projects (university assignments, personal projects, or freelance work) upon application.
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Build and operate engineering layers when required, including orchestrated pipelines, worker-based and event-driven systems, stream processing, and scaling for volume and concurrency.
Own solution quality through data validation, model evaluation, reproducibility, monitoring, alerting, and recovery planning.
Mentor junior data scientists and analysts, review their work, and remove technical blockers so the team can deliver reliably.
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