pythondata scienceoptimizationmachine learningprivate equitysimulationpredictive modelingapplied ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Многоразвернуть
$300к-350к/год
$170к$190кмедиана$220к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $4.4к/мес ($3.9к - $6к)
95
Крутая вакансия
развернуть
Роль сочетает работу с инвестиционной аналитикой и прикладным ИИ, даёт прямой доступ к руководителям и фокус на бизнес-результатах; высокий темп и частое присутствие в офисе могут снизить гибкость.
Часто в офисе
Актуальный стек
Широкое влияние
Выше рынка
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →