Senior Data Scientist — Production ML & Architecture

Energy Innovation Corp

Rio Rancho (NM)

In loco

USD 77.000 - 112.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

McDonalds in Rio Rancho, NM is seeking a Data Scientist to drive the architecture of production-grade data pipelines. You will collaborate with product and design teams to ship features end-to-end, and you will tackle complex model deployment and infrastructure tasks using Pandas and Vertex AI.

The role emphasizes ownership, documentation, reliability, and the ability to translate vague product wishes into concrete, shippable services while contributing to a fast-moving tech direction within the

Competenze

  • 3+ years owning outcomes, not just completing tasks.
  • Clarity of thought that shows up in tidy documentation.
  • The reliability that lets a manager stop checking in.
  • The self-awareness to know which problems are yours to solve.
  • A NM work history, or strong reasons you'll thrive here anyway.
  • 3+ years of Vertex AI reps, not just Vertex AI exposure.

Mansioni

  • Collaborate with product and design teams to ship features end to end
  • Spot the Growth Mindset anti-pattern in review before it spreads
  • Architect fault-tolerant distributed systems leveraging Model Deployment and Pandas
  • Harden McDonalds's Model Deployment auth so the NM audit comes back clean
  • Reproduce the flat-and-fast bug from the Rio Rancho field report, then make it impossible again
  • Configure and manage infrastructure as code across staging and production
  • Identify bottlenecks and propose architectural improvements proactively
  • Translate fuzzy product wishes from McDonalds stakeholders into shippable Pandas services

Conoscenze

Ownership
Documentation
Reliability
Self-awareness
NM experience
Vertex AI

Strumenti

Vertex AI

Descrizione del lavoro

McDonalds in Rio Rancho, NM is seeking a Data Scientist to drive the architecture of production-grade data pipelines. You will collaborate with product and design teams to ship features end-to-end, and you will tackle complex model deployment and infrastructure tasks using Pandas and Vertex AI.

The role emphasizes ownership, documentation, reliability, and the ability to translate vague product wishes into concrete, shippable services while contributing to a fast-moving tech direction within the

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