Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$86к-176к/год
$110к$140кмедиана$170к
По похожим ролям (50) ~ $140к/год
На СНГ рынке: $3.6к/мес ($2.8к - $4.4к)
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Отличная вакансия
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Чётко очерченная роль в известной продуктовой компании сочетает production ML, эксперименты и влияние на бизнес-решения; удалённая работа доступна только из США.
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Только для СШААктуальный стекПонятные задачиСильный пакет льгот
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Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist, Enterprise Analytics (AI): Building production machine learning models, experimentation frameworks, and trusted analytics products for go-to-market, sales, revenue, and finance reporting with an accent on statistical modeling, causal inference, and agentic workflows. Focus on productionizing propensity, churn, and expansion models, designing growth experiments, and ensuring AI-generated insights are accurate, traceable, and reliable.
Location: Remote, United States
Base salary: $86,400–$176,400 USD annually for United States residents; bonuses, equity, and benefits are excluded.
Company
hirify.global provides an intelligent orchestration platform for DevSecOps used to improve developer productivity, operational efficiency, security, compliance, and digital transformation.
What you will do
Partner with Sales, Revenue Operations, Finance, and other business teams to generate insights and support go-to-market decisions.
Analyze behavioral trends, business performance drivers, activation, conversion, expansion, retention, consumption, ARR, and first-order metrics.
Build and productionize propensity, PQL scoring, churn, and expansion models using Python, SQL, feature engineering, validation, MLOps, monitoring, and automated retraining.
Design and evaluate A/B tests and quasi-experiments for onboarding, pricing, packaging, and upgrade flows.
Build and monitor agentic workflows for analysis, modeling, and pipeline automation, ensuring generated insights are accurate, traceable, and trustworthy.
Contribute to the Semantic Layer and write maintainable, performant production-grade Python and SQL, including code review.
Requirements
3–5 years of professional experience in GTM analytics, data science, or a similar technical role.
Ability to translate ambiguous business problems into measurable questions and communicate technical concepts to non-technical stakeholders.
Experience with experimentation and causal inference, including A/B testing, power analysis, and quasi-experimental methods.
Experience with regression, classification, clustering, survival analysis, and other statistical and machine learning methods.
Deep hands-on SQL experience in cloud data warehouses such as Snowflake, including product usage and event data, plus experience with BI tools such as Looker, Tableau, or Hex.
Production data science experience with Python, pandas, NumPy, scikit-learn, Jupyter, LightGBM, XGBoost, and related libraries.
Hands-on experience building agentic workflows with AI coding agents such as Claude Code or OpenCode, connecting agents to context, tools, and platforms such as MLflow, and evaluating output accuracy and reliability.
Experience in a B2C company working with Consumption, CRR, ARR, and Churn & Contraction metrics.
Self-management, strong organizational skills, ability to use hirify.global, and ability to thrive in a fully remote organization.
Culture & Benefits
Fully remote work in a high-performance, collaborative environment focused on continuous knowledge exchange.
AI is expected to be incorporated into daily workflows as a productivity and innovation multiplier.
Benefits supporting health, finances, and well-being, plus flexible paid time off.
Equity compensation, employee stock purchase plan, growth and development fund, parental leave, and team member resource groups.
hirify.global hires globally, while individual roles may have location-based eligibility requirements.
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