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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$165к-200к/год
$200к$230кмедиана$250к
По похожим ролям (50) ~ $230к/год
На СНГ рынке: $4.7к/мес ($3.6к - $6.5к)
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Чётко описанная руководящая роль в зрелой продуктовой компании с заметной ответственностью за ML и эксперименты; обязательная работа в офисе ограничивает гибкость.
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Ниже рынкаПонятная зона ответственностиСовременный ML-стекСильный пакет льготРабота в офисе
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Science Manager (AI): Leading the Concord-based data science team and building scalable AdTech, auction, and shared experimentation capabilities with an accent on machine learning, experimentation, and technical direction. Focus on evolving experimentation platforms, productionizing ML solutions, and solving complex modeling and decision-making challenges across Product, Engineering, and business teams.
Location: Concord Office, Massachusetts, United States; onsite leadership role for the Concord-based data science team.
Salary: $165,000–$200,000 base salary per year.
Company
hirify.global is a travel search engine within Booking Holdings, operating global metasearch brands and a corporate travel solution.
What you will do
Own strategy and roadmaps for AdTech, auctions, and the shared experimentation platform, aligning priorities with business goals and long-term technical direction.
Lead, mentor, hire, and develop experienced Data Scientists based in Concord while maintaining technical excellence, autonomy, and accountability.
Set technical direction across modeling, experimentation, and machine learning solutions, contributing hands-on to high-impact problems.
Evolve and simplify the experimentation platform with scalable shared capabilities and clear boundaries between infrastructure and use-case logic.
Guide the development, evaluation, and productionization of ML solutions that improve user experience, business performance, and decision-making.
Collaborate with Data Science, Product, Engineering, Operations, and business stakeholders to manage dependencies and deliver complex initiatives from concept to production.
Requirements
Strong foundations in statistics, machine learning, software engineering, and systems design, with a track record of solving complex real-world problems; demonstrated capability is valued more than academic credentials.
Experience delivering impactful ML solutions in production and understanding related technical decisions, trade-offs, and business outcomes.
Meaningful people leadership experience, including hiring, coaching, performance management, and developing experienced technical talent while contributing hands-on.
Ability to lead across organizational boundaries, build alignment, navigate competing priorities, and drive outcomes through collaboration.
Strong ownership, judgment, and systems thinking, including the ability to assess technical, cost, reliability, and risk trade-offs and influence senior stakeholders.
Fluency with AI-assisted workflows and the ability to critically evaluate their outputs and limitations.
Curiosity, humility, collaboration, commitment to continuous improvement, and the ability to inspire these qualities in others.
Nice to have
Hands-on experience with PyTorch, Polars, CometML, Arize, Docker, Airflow, Trino, and Git/GitHub.
Familiarity with Agile practices such as sprint planning and team ceremonies.
Culture & Benefits
Work from almost anywhere for up to 20 days per year.
Company-paid therapy sessions, Headspace subscription, a company-wide week off, and no-meeting Fridays.
Paid parental leave, generous paid vacation, birthday time off, paid volunteer time, and health, retirement, life insurance, and flexible spending benefits.
Development dollars, leadership development, on-demand learning, employee resource groups, and travel discounts.
Free lunch two days per week and quarterly social events.
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