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19 часов назад

Senior Data Scientist

Формат работы
remote (только USA)/hybrid
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 (Python/SQL, Insurance Analytics): Developing predictive models and advanced analytics for pricing optimization, claims forecasting, fraud detection, customer segmentation, and business performance forecasting with an accent on machine learning, statistical analysis, and actionable business insights. Focus on designing scalable analytical solutions, building Power BI and Tableau dashboards, conducting A/B testing, and translating complex findings for cross-functional stakeholders.

Location: Fully remote in California; hybrid/remote arrangement as applicable

Company

hirify.global uses data and analytics to support innovation and business performance in the insurance industry.

What you will do

  • Analyze structured and unstructured data to identify trends, opportunities, and answers to critical business questions.
  • Develop, test, and support predictive models for pricing, claims, fraud detection, customer segmentation, and business forecasting.
  • Apply statistical and machine learning methods, including A/B testing and program effectiveness analysis.
  • Build and maintain dashboards and KPI reporting solutions with Power BI and Tableau.
  • Partner with underwriting, product, marketing, operations, leadership, data engineering, and governance teams.
  • Improve data quality, documentation, curated data assets, and repeatable analytical datasets.

Requirements

  • Bachelor’s degree in Statistics, Data Science, Economics, Actuarial Science, Mathematics, Computer Science, or a related quantitative field.
  • 4+ years of experience in data science, advanced analytics, or a related role.
  • Advanced proficiency in Python and SQL.
  • Strong expertise in predictive modeling, machine learning, statistical analysis, and data mining.
  • Experience working with large, complex datasets and building scalable analytical solutions.
  • Strong communication, problem-solving, organizational, and cross-functional collaboration skills.

Nice to have

  • Experience in insurance or financial services.
  • Experience with quotes, policies, claims, rating, or customer data.
  • Auto insurance experience.
  • Master’s degree in a quantitative discipline.
  • Experience with Azure, AWS, Databricks, or similar cloud-based data platforms.

Culture & Benefits

  • Collaborative analytics environment focused on data-driven innovation.
  • Flexible or alternative work schedules may be available based on business needs.
  • Work is primarily performed in a technical, paperless remote or office environment.
  • Occasional travel for meetings, training, conferences, or company events may be required.

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