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12 часов назад

Sr Director, Data Science and Analytics

319 600 - 479 400$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
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
Sr Director, Data Science and Analytics (Data Science/Applied AI): Leading data science, analytics, and applied AI across operations and finance with an accent on agentic systems, forecasting, lead scoring, and decision support. Focus on building AI workflows that act on operational data, developing high-performing teams, and translating complex business problems into production systems with measurable impact.

Location: US Remote

Salary: Zone 1: $319,600–$479,400 USD for CA, CT, DC, MD, MA, NJ, NY, VA, and WA; Zone 2: $298,700–$448,100 USD for all other US locations

Company

hirify.global develops software for business operations and analytics, with a focus on data-driven tools for operational and financial management.

What you will do

  • Own the data science and applied AI roadmap for G&A, including agentic systems, forecasting, lead scoring, and decision-support capabilities.
  • Lead, hire, and develop a data science and analytics organization while setting standards for technical rigor, evaluation, and production quality.
  • Partner with operations and product leaders to identify high-impact problems and translate them into operational decisions and shipped AI capabilities.
  • Oversee finance analytics supporting accounting, FP&A, and pricing.
  • Collaborate with data engineering, machine learning engineering, and platform teams on data quality, infrastructure, orchestration, tooling, and guardrails.
  • Communicate findings and recommendations to executive stakeholders and promote agent-first ways of working.

Requirements

  • 8+ years of experience in data science or applied AI/ML.
  • 5+ years of experience leading and growing teams, including analytics teams.
  • Experience influencing internal operational decisions through ML systems such as forecasts and lead scores.
  • Strong foundation in statistics and machine learning, with expertise in LLMs, agentic systems, orchestration, retrieval, and evaluation.
  • Fluency in SQL and Python, plus familiarity with modern data and AI stacks, cloud warehouses, dbt, and LLM or agent deployment pipelines.
  • Ability to partner with non-technical executives and translate ambiguous business problems into actionable work.

Nice to have

  • Background in B2B SaaS, marketplaces, logistics, or field operations.

Culture & Benefits

  • Flexible time off, autonomous work support, learning and development opportunities, leadership training, and onboarding programs.
  • Recognition programs, peer-nominated awards, and performance-related rewards.
  • Company-paid medical, dental, and vision coverage, with FSA, HSA, 401(k) matching, and telehealth options.
  • Parental leave, fertility, surrogacy, and adoption reimbursement, maternity support, pet insurance, legal advisory services, and financial planning tools.
  • Recruitment may use automated and AI-assisted tools, but hiring decisions are made by hiring teams.

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