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15 дней назад

Lead Data Scientist (AI)

Формат работы
remote
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Ecuador
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Lead Data Scientist (AI): Leading and executing end-to-end data science projects with an accent on statistical modeling, machine learning algorithms, and productionizing AI solutions. Focus on bridging the gap between complex technical insights and business value, mentoring team members, and ensuring ethical AI governance.

Location: Quito, Ecuador (Remote)

Company

hirify.global is a global technology consultancy that helps clients solve complex business problems through purposeful and impactful technology solutions.

What you will do

  • Lead and manage data science projects from inception to production deployment.
  • Collaborate with stakeholders to define strategic objectives and identify opportunities for AI and machine learning integration.
  • Design overall AI system architecture, problem framing, and governance frameworks.
  • Develop and implement data science strategies that drive measurable business outcomes.
  • Mentor junior team members and promote a culture of data literacy and technical excellence.
  • Ensure adherence to ethical AI guidelines, including fairness, accountability, and transparency.

Requirements

  • Proven experience in leading end-to-end data science projects from analysis to production.
  • Strong expertise in statistical modeling, machine learning, deep learning, and optimization techniques.
  • Specialization in at least one AI domain such as NLP, computer vision, or Generative AI.
  • Proficiency in Python, R, or equivalent statistical analysis tools with production-ready coding skills.
  • Experience with CD4ML practices and data versioning tools.
  • Strong stakeholder management skills with the ability to communicate technical findings to non-technical audiences.

Culture & Benefits

  • Supportive and inclusive community focused on continuous learning and professional growth.
  • Access to interactive tools and development programs tailored to individual career paths.
  • Emphasis on a cultivation culture that balances autonomy with team support.
  • Commitment to ethical AI practices and responsible technology consulting.

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