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5 часов назад

Data Scientist (AI/ML)

Формат работы
remote (только USA)/hybrid
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 (AI/ML): Building and deploying predictive, AI/ML, and GenAI models for specialty insurance with an accent on model testing, validation, data quality, and business-focused analytics. Focus on coordinating model deployments with ML Engineers, monitoring post-deployment performance, and translating advanced modeling results into actionable decisions for stakeholders.

Location: Remote role associated with Amelia, Ohio, and other listed locations in the United States; a hybrid environment is also described. Applicants requiring employer visa sponsorship will not be considered.

Company

hirify.global, a Munich Re company, provides specialty insurance products for residential property and recreational markets across all 50 states.

What you will do

  • Build, deploy, test, validate, and monitor AI/ML and GenAI predictive models supporting business domains across specialty insurance.
  • Coordinate model deployments between the Data Science and ML Engineering teams and verify system performance.
  • Prepare data, identify anomalies and operational issues, and apply data cleaning, transformation, and modeling techniques.
  • Develop modeling projects and statistical analyses that support customer satisfaction, policy growth, retention, and profitability.
  • Present modeling results and explain advanced analytical procedures to business stakeholders and management.
  • Document assumptions, results, alternatives, best practices, and new modeling techniques; conduct peer reviews and mentor junior team members.

Requirements

  • Proficiency in statistical programming languages such as R, Python, SAS, or similar, plus general programming and SQL knowledge.
  • Experience building and deploying statistical and machine learning models for business challenges.
  • Experience with data wrangling, quality evaluation, transformation, and cleaning.
  • Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.
  • Familiarity with MLflow, Git, and agile frameworks using tools such as Azure DevOps.
  • Data Scientist: at least 2 years of data science/predictive analytics experience in (re)insurance or at least 4 years of predictive modeling experience in another industry.
  • Master’s degree in Business Analytics, Statistics, Computer Science, or the specified Statistics/Math double-major combinations.
  • Strong organization, communication, interpersonal, presentation, and stakeholder relationship-building skills.

Culture & Benefits

  • Regular employee position with health, prescription, vision, dental, disability, life, and supplemental insurance options.
  • 401(k) plan with up to a 5% employer match, a company-funded retirement savings plan, and potential yearly bonus.
  • Paid time off starting at 24 days per year, family-care and volunteer leave, and wellness programs.
  • Hybrid work environment with flexibility in where and how work is completed, plus an on-site cafeteria, fitness facility, wellness center, walking trails, and free parking.
  • Tuition assistance, educational achievement bonuses, adoption and infertility assistance, and charitable matching programs.
  • Inclusive workplace focused on diversity, respect, accessibility, and equal opportunity.

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