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5 дней назад

Manager, Data Science (Marketing)

202 000 - 303 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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

Manager, Data Science (Marketing): Architecting and leading the next generation of marketing data science and applied AI at hirify.global with an accent on causal inference, ROI-positive investment decisions, and large-scale predictive modeling. Focus on building reusable modeling frameworks, scaling experimentation platforms, and mentoring a high-performing team of data scientists to drive business impact.

Location: Must be based in the San Francisco, Bay Area. Requirement: In-office 3x a week.

Salary: $202,000–$303,000 + equity + benefits.

Company

hirify.global is the world’s leading community for social fundraising and collective action.

What you will do

  • Build and scale foundations of applied data science and AI for Marketing, Growth, and Finance teams.
  • Develop scalable pipelines, reusable modeling frameworks, and robust experimentation platforms.
  • Drive marketing science innovation using causal inference, uplift modeling, and multi-touch attribution.
  • Champion standards in model governance, reproducibility, and data quality.
  • Deliver budget allocation frameworks and predictive models to guide roadmap planning.
  • Mentor and coach a team of experienced data scientists while fostering a culture of technical rigor.

Requirements

  • 8+ years of experience in data science roles with impact on marketing, growth, or revenue.
  • Master’s or Ph.D. in a quantitative field or equivalent applied experience.
  • Advanced proficiency in Python and SQL.
  • Deep experience with experimentation frameworks, A/B testing, and attribution models.
  • Proven success in forecasting and budget allocation modeling.
  • Experience with data platforms (Snowflake, Databricks) and BI tools.

Nice to have

  • Familiarity with web/mobile analytics platforms like Amplitude or Google Analytics.
  • Prior exposure to generative AI or LLMs in marketing.
  • Experience with ML ops practices and scalable ETL frameworks.
  • Knowledge of multi-arm and contextual bandit algorithms.

Culture & Benefits

  • Comprehensive healthcare benefits, including dental, vision, and life insurance.
  • 401(k) retirement savings program with company match.
  • Generous parental leave and flexible time-off policies.
  • Support for hybrid work and holistic well-being resources.
  • Participation in learning, development, and volunteering programs.

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