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4 дня назад

Senior Data Scientist (AI)

125 000 - 140 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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
Senior Data Scientist (AI) (Machine Learning/LLM): Building and productionizing machine learning models, agentic AI tools, and self-serve data products for a life insurance technology platform with an accent on statistical rigor, model lifecycle ownership, and responsible LLM application development. Focus on designing monitored production models, building natural-language analytics interfaces, and turning recurring analysis into automated pipelines that business stakeholders can use independently.

Location: Remote in the U.S., limited to the 48 contiguous states. A Dallas office is available for employees who prefer an office setting.

Salary: $125,000–$140,000 per year, plus equity and bonus opportunities.

Company

hirify.global builds an AI- and automation-powered vertical technology platform that helps life insurers modernize and operate their product value chain.

What you will do

  • Build classification, regression, anomaly detection, and other machine learning models from proof of concept through production deployment.
  • Own feature engineering, validation, deployment, performance monitoring, drift detection, and retraining.
  • Partner with engineering to productionize models within existing data pipelines and platforms.
  • Develop dashboards, self-serve reporting, natural-language interfaces, and agentic data products for non-technical stakeholders.
  • Build LLM-powered and agentic applications with evaluation, monitoring, and human oversight appropriate for a regulated industry.
  • Automate recurring analytical work, improve data quality and documentation, and drive adoption through training and enablement.

Requirements

  • 5+ years of professional data science experience or equivalent, including shipping machine learning models and data products to production.
  • Advanced SQL and strong Python skills, with experience using cloud data warehouses such as BigQuery.
  • Hands-on experience building traditional machine learning models and managing their production lifecycle.
  • Strong statistical fundamentals in feature engineering, validation methodology, and model judgment.
  • Hands-on experience with LLMs and agentic systems, including prompting, retrieval, tool use, and evaluation.
  • Experience driving stakeholder adoption, translating business requirements, and communicating clearly with non-technical audiences.

Nice to have

  • Experience building agent-based or LLM-powered analytics platforms.
  • Experience in insurance, fintech, or another regulated domain.
  • Experience building internal web tools or lightweight frontends for analytics products.

Culture & Benefits

  • Flexible remote and work-from-home policy, with an optional office in Dallas’ Deep Ellum.
  • Competitive salary, equity, and bonus opportunities.
  • Flexible paid time off and parental leave programs supporting work-life balance.
  • 100% paid-premium option for medical, dental, and vision insurance.
  • Lifestyle stipend supporting physical, emotional, and financial wellbeing.
  • Written-first, async-friendly collaboration with employee-led diversity, equity, and inclusion initiatives.

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