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9 дней назад

Senior Data Science Consultant (Applied AI)

300 000 - 350 000$
Формат работы
onsite
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

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TL;DR
Senior Data Science Consultant (Applied AI): Building analytical and machine learning models, AI roadmaps, and MVPs for investment diligence and portfolio-company value creation with an accent on applied modeling, commercial analytics, and measurable business impact. Focus on structuring ambiguous investment problems, validating AI use cases, developing proofs of concept, and presenting recommendations to senior stakeholders.

Location: New York, United States; minimum 3 days per week in office, with 4 days preferred

Salary: $300,000–$350,000 cash compensation

Company

hirify.global is a specialist recruitment partner representing an opportunity with a major global private equity investor expanding its Data Science capability in New York.

What you will do

  • Build analytical and machine learning models supporting live investment diligence and commercial decision-making.
  • Investigate businesses, customer behavior, risks, growth opportunities, and potential AI applications across industries.
  • Shape AI roadmaps and prioritize use cases by expected value and feasibility.
  • Develop MVPs and proofs of concept using predictive and prescriptive modeling, agentic AI, optimization, simulation, and broader analytics.
  • Partner with portfolio company stakeholders to move priority use cases from strategy into practical experimentation.
  • Present technical findings as commercially focused recommendations to investment professionals, executives, and senior stakeholders.

Requirements

  • Strong hands-on Data Science experience with genuine depth in modeling and applied machine learning.
  • Strong Python skills and comfort with modern analytical and data platforms.
  • Ability to connect technical work to measurable commercial outcomes rather than focusing primarily on engineering complexity.
  • Experience structuring ambiguous business problems and identifying appropriate analytical approaches.
  • Clear, concise communication skills and confidence working with senior commercial stakeholders.
  • Consulting, private equity, strategy, or another high-performance commercial environment is strongly relevant; technically strong candidates from technology backgrounds may also fit.
  • For senior candidates, experience managing multiple workstreams and mentoring or leading junior team members.
  • Ability to understand and defend technical work, including where AI-assisted development tools are used.

Culture & Benefits

  • Permanent role split roughly evenly between pre-deal investment diligence and post-deal value creation.
  • Direct exposure to investment teams, portfolio companies, senior executives, multiple industries, datasets, and AI use cases.
  • Focus on measurable business impact rather than technical complexity for its own sake.
  • Regular office attendance in New York is required: at least 3 days per week, with 4 days preferred.

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