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3 дня назад

Senior Data Scientist, Growth Analytics (AI)

180 000 - 225 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Senior Data Scientist, Growth Analytics (AI): Building scalable advertiser activation frameworks and translating customer insights into product roadmap decisions with an accent on experimentation, causal inference, and performance marketing analytics. Focus on advising major advertisers, defining success metrics, and synthesizing global customer signals into actionable product requirements.

Location: Menlo Park, California, United States or New York, United States

Base salary: $180,000–$225,000 for Region A, $162,000–$202,500 for Region B, or $153,000–$191,250 for Region C.

Company

hirify.global builds AI-powered advertising and commerce media solutions that help mobile app marketers, retailers, and marketplaces improve growth and monetization.

What you will do

  • Advise top advertisers on campaign structure, measurement, bidding strategy, and optimization.
  • Translate advertiser insights into product roadmap and go-to-market feedback.
  • Build scalable activation frameworks, playbooks, tools, and best practices for global Growth Data Science teams.
  • Partner with product, engineering, sales, and go-to-market teams to define success metrics, design experiments, and evaluate product features.
  • Turn ambiguous advertiser problems into clear product requirements and value propositions.
  • Coordinate consistent product activation and customer insight sharing across AMER, EMEA, and APAC.

Requirements

  • Bachelor's degree in statistics, computer science, economics, mathematics, physics, or a related quantitative discipline, or equivalent practical experience.
  • 4+ years of experience in data science, analytics, or a related quantitative field, including customer-facing or product-facing individual contributor work.
  • Strong knowledge of experimental design, hypothesis testing, regression, and causal inference.
  • Proficiency in Python and SQL; experience with large-scale data platforms such as BigQuery is preferred.
  • Exceptional communication, stakeholder management, ownership, and senior-level judgment.
  • Ability to explain complex technical concepts to non-technical audiences, including C-level stakeholders.

Nice to have

  • Master's or PhD in a quantitative discipline.
  • Experience in ad tech, programmatic advertising, DSP/SSP, performance marketing, mobile app ecosystems, or MMP measurement.
  • Experience with user acquisition strategy, lifetime-value optimization, monetization, and mobile app advertisers.
  • Experience influencing product roadmaps and building frameworks adopted by wider teams.
  • Familiarity with incrementality testing, including geo holdouts, ghost bidding, and PSA tests.

Culture & Benefits

  • Medical, dental, and vision insurance for U.S.-based employees.
  • 401(k) plan with company match, disability coverage, life insurance, and well-being benefits.
  • Up to 12 scheduled paid holidays and one quarterly Thrive Day for U.S.-based employees.
  • Flexible Time Off for all employees.
  • Potential bonus and equity awards subject to applicable plans and performance.
  • Values emphasize humility, continuous growth, measurable customer value, and proactive collaboration.

Hiring process

  • Interview rounds are conducted without AI assistance unless AI is specifically included in the assessment.
  • Candidates are expected to review the AI Use in Interviews Policy before interviewing.

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