2 часа назад
Data Scientist
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (SQL/Python, dbt/Snowflake): Building the intelligence layer for a revenue operating system through company-wide metrics, customer telemetry models, GTM analytics, and unit-economics frameworks with an accent on data quality, self-serve analytics, and product usage measurement. Focus on designing scalable data foundations, analyzing cohorts and uplift, and translating complex evidence into decisions for product, Finance, and leadership.
Location: San Francisco, United States; on-site. Candidates must be located in or willing to relocate to San Francisco.
Company
is an early-stage software company building an AI-powered revenue operating system with autonomous revenue agents for sales and customer operations.
What you will do
- Build and maintain dashboards, KPIs, metric definitions, and a company-wide source of truth for revenue, usage, and customer telemetry.
- Partner with GTM, Finance, Product, Engineering, and leadership on segmentation, funnel analysis, workflow adoption, ROI, and revenue strategy.
- Develop COGS, unit-economics, cost-per-action, and margin models.
- Own and improve dbt/Paradime models and Snowflake pipelines, ensuring data quality, reliability, and consistency.
- Build self-serve data tools, internal data apps, automations, dbt models, and Sigma dashboards.
- Conduct product and usage analytics, including cohort and uplift analysis, and deliver clear, defensible analyses with documentation and metric governance.
Requirements
- Degree in Mathematics, Economics, Computer Science, Engineering, Statistics, or another quantitative field.
- 2–5+ years of experience in fast-paced, high-growth companies supporting Sales, Finance, or Product.
- Strong SQL and Python skills for working with large, messy datasets.
- Experience with dbt ecosystems, including Paradime or dbt, and dashboarding tools such as Sigma, Looker, Tableau, or Mode.
- Exceptional analytical rigor, structured problem-solving, and communication skills.
- Located in or willing to relocate to San Francisco.
Nice to have
- Experience with consumption- or usage-based businesses, usage metering, unit economics, COGS, margin, or FP&A.
- Experience working with GTM organizations, enterprise customers, B2B SaaS telemetry, revenue KPIs, or operational models.
- Experience with data warehousing, semantic layers, metric governance, data apps, Python automations, cohort analysis, or product adoption analytics.
- Comfort with AI-native development tools such as Cursor and Claude Code.
Culture & Benefits
- High-ownership environment with fast decision-making, rapid execution, and high expectations.
- Opportunity to be one of the first dedicated data hires and build the data function from the ground up.
- Competitive pay with considerable equity upside.
- Health insurance.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →