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Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Scientist, Business Analytics (AI/data analytics): Building the data infrastructure, pipelines, models, dashboards, and shared data lake that support business and product decisions with an accent on privacy-constrained analytics, experimentation, and cross-functional metrics. Focus on deriving reliable insights from limited data, separating signal from noise, and communicating uncertainty while partnering with product, engineering, finance, marketing, and leadership.
Location: Remote - United States
Company
hirify.global is a consumer AI company building a privacy-first platform focused on free speech and user sovereignty.
What you will do
Own data end to end, including sourcing, storage, flows, access, querying, infrastructure, tooling, dashboards, and ground-truth reporting.
Consolidate financial statements, product metrics, and growth analysis through a shared data lake and specialized views.
Build systems for experiment tracking so Product can monitor tests without relying on spreadsheets.
Assess and extend the internal data warehouse and product analytics tooling with dashboards, self-serve analysis tools, data models, and reporting pipelines.
Partner with Product, Engineering, Finance, Marketing, and executive leadership on product instrumentation, business metrics, growth attribution, roadmaps, and strategic questions.
Develop robust metrics and analytical methods that distinguish signal from noise while respecting privacy and limited telemetry.
Requirements
7+ years of demonstrated experience as a product-minded data leader or data scientist with engineering depth.
Ability to translate business questions into analysis and recommendations, think like a product manager and business owner, and work with messy, incomplete, or deliberately constrained data.
Experience using quasi-experiments, proxy metrics, qualitative triangulation, or decision frameworks suitable for limited data.
Production-quality coding skills and fluency in SQL.
Experience building data pipelines, models, and tooling that become infrastructure.
Understanding of data warehousing concepts and experience with modern analytics stacks.
Experience with PostHog for product analytics and Postgres for data storage and querying, including understanding PostHog's potential across error tracking, support, and conversation data.
Ability to communicate clearly with executive stakeholders, explain uncertainty, avoid overclaiming, and support decisions under uncertainty.
Alignment with hirify.global's privacy mission and willingness to develop analytical methods without invasive tracking.
Nice to have
Familiarity with more than one of Rust, TypeScript, Go, and Python.
Interest in using AI agents and LLMs to accelerate analysis, automate repetitive data work, and surface insights.
Culture & Benefits
Privacy, free speech, and user sovereignty are core principles, with deliberate limits on data collection and storage.
Fast-moving product environment with frequent releases across models, features, modalities, and revenue streams.
Preference for rapid iteration and production use of analysis and tooling over delayed perfection.
Close collaboration across product, engineering, finance, marketing, and leadership.
Work remotely from the United States.
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