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6 дней назад

Principal Forward Deployed Data Scientist - Oil & Gas, Houston (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Forward Deployed Data Scientist - Oil & Gas, Houston (AI): Deploying NEXUS foundation-model solutions for Houston-based Oil & Gas customers and proving business value through production use cases, with an accent on benchmarking, feature engineering, validation, and customer collaboration. Focus on preventing data leakage, optimizing models for business problems, integrating systems into VPC, on-premises, and air-gapped environments, and translating operational insights into the product roadmap.

Location: Houston, Texas, United States

Company

hirify.global is an AI company developing NEXUS, a Large Tabular Model for enterprise decision-making and structured business data.

What you will do

  • Deploy NEXUS use cases into production and demonstrate measurable business impact over legacy baselines or new use cases.
  • Collaborate directly with Oil & Gas customers and stakeholders across IT, C-suite, data science, Sales, and Solution Architecture.
  • Conduct rigorous benchmarking against XGBoost and LightGBM, including data engineering, feature engineering, and validation.
  • Translate operational pain points and data anomalies into inputs for the research and product roadmaps.
  • Define technical strategies for selecting business problems, preventing data leakage, and optimizing models.
  • Support last-mile integrations across VPC, on-premises, and air-gapped environments, and explain model predictions to business users.

Requirements

  • PhD or master’s degree in Computer Science, Mathematics, or Statistics, or equivalent statistical expertise.
  • 7+ years of technical individual-contributor experience in Data Science, Machine Learning, Applied Science, or ML Engineering.
  • Strong experience working directly with customers or business stakeholders in complex enterprise or industrial environments.
  • Experience with Docker, orchestration, and performant APIs using FastAPI or Flask.
  • Expertise across the end-to-end machine-learning pipeline, including framing, preprocessing, algorithms, and validation strategies.
  • Strong data-handling and memory-optimization skills with PySpark and Pandas, alongside clear technical communication.

Nice to have

  • Experience with PyTorch and cloud-native ML pipelines on AWS, GCP, or Azure.
  • Oil & Gas, energy, utilities, industrial, logistics, or heavy-asset domain experience.
  • Experience as a Forward Deployed Engineer, Staff Engineer, Machine Learning Engineer, or Staff Data Scientist.
  • Industry-based subject-matter expertise.

Culture & Benefits

  • Competitive compensation with salary and equity.
  • Medical, dental, and vision coverage for employees and dependents, plus a 401(k).
  • Paid parental leave for all new parents, including adoptive and surrogate journeys.
  • Relocation support for employees moving to one of the office locations.
  • Low-ego, mission-driven culture emphasizing diversity of thought, ownership, and bias toward action.

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