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5 дней назад

Data Scientist (Growth & Marketing)

190 000 - 250 000$
Формат работы
remote (только USA)/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

Текст:
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TL;DR
Data Scientist (Growth & Marketing) (SQL/dbt/Python): Building growth-funnel data models, measurement systems, dashboards, and experimentation frameworks for acquisition, conversion, enrollment, retention, and expansion with an accent on marketing attribution, data quality, and self-serve analytics. Focus on designing incrementality experiments, building statistical and machine-learning models, and turning complex GTM data into actionable recommendations.

Location: Austin, Texas; New York, New York; San Francisco, California; Remote (US)

Salary: $190,000–$250,000 USD annually

Company

hirify.global provides software that enables companies to offer employees individual healthcare budgets and gives employees more choice and control over health coverage and care.

What you will do

  • Partner with GTM and Marketing teams to answer business questions and guide growth decisions.
  • Analyze acquisition, conversion, retention, and marketing performance to identify growth opportunities.
  • Own GTM measurement by connecting attribution, CRM, and product data into trusted metrics.
  • Build and maintain dbt models, dashboards, and analytical tools using data from Snowflake and related systems.
  • Design and evaluate experiments to understand performance and investment opportunities.
  • Improve data quality and enable self-serve analytics and automation.

Requirements

  • Experience using analytics, data science, and experimentation to drive growth, marketing, or GTM outcomes.
  • Strong SQL skills and experience with dbt or similar data transformation tools.
  • Experience building analytical data models and dashboards with BI or visualization tools.
  • Proficiency in Python for analysis, experimentation, or statistical modeling.
  • Strong business judgment and the ability to turn complex findings into clear, actionable recommendations.
  • Ability to work independently, navigate ambiguity, and partner across teams.

Nice to have

  • Growth, Marketing, or Revenue Operations analytics experience, including acquisition, attribution, and lifecycle performance.
  • Experience measuring marketing incrementality through holdouts, geo experiments, lift tests, or similar methods.
  • Experience building statistical or machine-learning models for forecasting, segmentation, lead scoring, or churn.
  • Experience creating tools and automations that help teams make faster decisions.
  • Experience in healthcare, fintech, or other regulated industries.
  • Understanding of source data from systems such as Ruby on Rails.

Culture & Benefits

  • Work is focused on solving complex problems across healthcare, payments, and technology.
  • The role supports remote work in the US and is also available in Austin, New York, and San Francisco.
  • The company values customer focus, ownership, sound judgment, and comfort with ambiguity.
  • AI tools such as Claude, ChatGPT, and Copilot are part of daily development and analysis workflows.
  • Tools include dbt, SQL, Snowflake, Omni, Hex, GitHub, and CI/CD.

Hiring process

  • Initial recruiter conversation followed by a hiring manager conversation and a lightweight Python coding exercise.
  • Take-home analytics exercise, review of the work, and data modeling and metrics exercise with the team.
  • Discussion with cross-functional partners followed by a final conversation with engineering and company leadership.
  • Most candidates complete the process within 2–3 weeks.

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