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4 дня назад

Data Scientist, Enterprise Analytics (AI)

86 400 - 176 400$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
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
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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