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2 дня назад

Senior Data Scientist (GTM Data)

165 000 - 185 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Data Scientist (GTM Data): Design, build, and maintain predictive machine learning models that optimize customer acquisition, revenue attribution, and retention with an accent on GTM experimentation and causal inference. Focus on deep dive analyses, measurement frameworks, and translating complex statistical findings into actionable business recommendations.

Location: Remote (USA)

Salary: $165,000–$185,000

Company

SaaS company providing document automation solutions with a global distributed team.

What you will do

  • Design, build, and deploy GTM models including LTV forecasting, attribution, and propensity to convert/churn/expand.
  • Partner with GTM teams on experimentation across channels using A/B, multivariate, Bayesian, and causal inference methods.
  • Conduct deep dive analyses to uncover user behavior and root causes of metric changes, providing actionable recommendations.
  • Define and govern unified KPI frameworks mapping GTM activities to business outcomes.
  • Collaborate with Data Engineering on data quality, instrumentation, and reusable predictive assets.
  • Provide guidance on data exploration, ML modeling, and causal methodologies to peers and stakeholders.

Requirements

  • 4+ years in applied data science, economics, or GTM analytics with proven impact via predictive modeling and experimentation
  • B.A./B.S. in Mathematics, Statistics, Economics, Computer Science, or related (Master’s preferred)
  • Experience building production-ready ML models for LTV, attribution, propensity
  • Practical causal inference (Quasi-Experimentation, PSM, Difference-in-Differences)
  • Proficiency in A/B testing, sample size calculations, sequential testing
  • Advanced Python/R (Scikit-Learn, pandas, numpy) and expert SQL
  • Strong data storytelling and ability to thrive in ambiguity

Nice to have

  • Data pipelining tools (dbt, Airflow, Databricks, Snowflake)
  • SaaS domain experience supporting Sales, Marketing, or Customer Success
  • Marketing Mix Modeling (MMM) interpretation

Culture & Benefits

  • Work-life balance with kind co-workers and creative virtual team-bonding events
  • 20+ PTO days, health and commuter benefits, company-paid life & disability, 401K, FSA
  • Tremendous career growth opportunities and fun team environment
  • Values of integrity, transparency, and impactful product

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