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Чётко очерченная роль уровня Staff сочетает причинный анализ, эксперименты и прикладное машинное обучение с заметным влиянием на бизнес; обязательный офисный режим в Bay Area ограничивает выбор места работы.
Только Bay Area
Актуальный стек
Чёткий уровень роли
Социальная миссия
Широкий соцпакет
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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