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20 часов назад

Data Scientist (Marketing Analytics)

Формат работы
remote (только Usa/europe)
Тип работы
fulltime
Английский
b2
Страна
UK, 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

Data Scientist (Marketing Analytics): Powering insights for B2B growth by analyzing prospect conversion, campaign effectiveness, and marketing investments with an accent on building dashboards, developing lead scoring models, and conducting deep-dive analyses. Focus on attribution modeling, campaign performance, and understanding the B2B buyer journey to shape customer acquisition and conversion.

Location: Remote-first, and can be executed from anywhere from US East to Europe. Office work is optional in Dublin, London, New York, and Warsaw.

Company

hirify.global is a research and product company defining the frontier of audio AI, building the most important audio AI platform in the world with proprietary Text to Speech, Speech to Text, and conversational AI models.

What you will do

  • Power insights for B2B growth by analyzing prospect conversion and marketing investments.
  • Partner with marketing, sales, and revenue operations teams.
  • Build dashboards to track funnel health and campaign performance.
  • Develop lead scoring models to surface opportunities.
  • Conduct deep-dive analyses to uncover what drives results.
  • Shape customer acquisition and conversion strategies through data.

Requirements

  • Expertise in marketing and revenue analytics, with strong SQL and Python skills.
  • Experience with CRM data (Salesforce preferred) and B2B sales funnels.
  • Strong analytical intuition to connect marketing activities to business outcomes.
  • Deep understanding of key marketing metrics (CAC, conversion rates, attribution).
  • Proven ability to build dashboards/reports and communicate findings to non-technical stakeholders.
  • Willingness to manage data cleaning, debugging, and reporting infrastructure.

Culture & Benefits

  • Innovative culture defining the trajectory of AI.
  • High-velocity, lean autonomous teams with minimal bureaucracy.
  • Focus on impact, not job titles, with no task being above or beneath anyone.
  • Proactive support for professional development through an annual discretionary stipend.
  • Annual discretionary stipend for social travel to meet colleagues.
  • Annual company offsite (e.g., Croatia, Italy).
  • Monthly co-working stipend if not near main hubs.

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