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3 дня назад

Staff Data Scientist (AI)

179 500 - 269 500$
Формат работы
hybrid
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
Staff Data Scientist (AI/Marketing Analytics): Leading data science initiatives across marketing, growth, and product with an accent on causal inference, experimentation, personalization, and investment efficiency. Focus on developing uplift and treatment-effect models, building scalable incrementality frameworks, and translating complex analyses into executive-level recommendations.

Location: San Diego, CA or San Francisco, CA; candidates must be located in the San Francisco Bay Area and work in the office 3 days per week.

Annual U.S. salary range: $179,500–$269,500, plus equity, benefits, and possible geolocation differentials.

Company

hirify.global operates a community fundraising platform that connects individuals and nonprofits to help people support causes and each other.

What you will do

  • Lead high-impact data science initiatives across marketing, growth, and product from problem definition through recommendations.
  • Set technical strategy and best practices for experimentation, causal measurement, modeling, AI-assisted development, and decision science.
  • Design and analyze experiments and quasi-experiments, including frameworks for incrementality, treatment effects, and long-term business value.
  • Develop machine learning, uplift, heterogeneous treatment effect, and adaptive experimentation models for targeting, personalization, lifecycle optimization, audience strategy, budget allocation, and product decisions.
  • Evaluate acquisition, retention, ROI, user journeys, funnels, marketplace dynamics, donation conversion, and engagement with cross-functional partners.
  • Improve instrumentation, data quality, experimentation infrastructure, reusable workflows, and team capabilities while mentoring data scientists and analysts.

Requirements

  • 8+ years of experience leading data science, applied statistics, or machine learning projects with measurable business impact.
  • Master’s degree or Ph.D. in a quantitative field, or equivalent applied experience with a bachelor’s degree.
  • Experience with marketing, growth, marketplace, and/or product optimization problems.
  • Strong command of statistical inference, causal inference, uplift modeling, heterogeneous treatment effects, treatment/control frameworks, and incrementality measurement.
  • Experience applying machine learning to targeting, personalization, segmentation, recommendation, lifecycle optimization, or similar problems.
  • Familiarity with adaptive experimentation, including frequentist A/B tests, multi-arm bandits, contextual bandits, or related optimization methods.
  • Advanced proficiency with SQL and Python for data extraction, transformation, modeling, and analysis.
  • Experience using AI-assisted tools to improve analysis, coding, iteration, and communication quality.
  • Ability to define technical strategy, identify reusable patterns, improve data science quality across teams, manage stakeholders, communicate clearly, present to executives, and mentor technical team members.

Nice to have

  • Experience with media mix modeling, multi-touch attribution, channel incrementality, forecasting, budget allocation, optimization, or ROI modeling.
  • Experience with Amplitude, Google Analytics, Optimizely, GrowthBook, or similar web, mobile, product, or marketplace analytics tools.
  • Familiarity with Snowflake, Databricks, dbt, Airflow, Git, Looker, Tableau, or similar modern data platforms and workflows.
  • Experience operationalizing AI or machine learning workflows with engineering partners.

Culture & Benefits

  • Mission-driven, collaborative, diverse, and fast-paced work environment focused on helping people and communities.
  • Competitive pay, comprehensive healthcare, dental and vision coverage, life insurance, and a 401(k) savings program.
  • Financial assistance for hybrid work and family planning, generous parental leave, flexible time off, and mental health and wellness resources.
  • Learning, development, recognition, diversity and inclusion, employee resource group, and volunteering programs.
  • Equal opportunity employment with reasonable accommodation available during the application and interview process.

Hiring process

  • Contact hirify.global for reasonable accommodation during the application or interview process if needed.
  • For applicable New York City processes, Metaview may assist with evaluating submitted qualifications; candidates may request an alternative selection process or accommodation.

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