Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$115к$155кмедиана$182к
48 в выборке
На СНГ рынке: $4к/мес ($3.3к - $4.7к)
84
Хорошая вакансия
развернуть
Хорошо описанная роль в data science в крупной компании Munich Re, с современными практиками ML и сильным пакетом льгот; доступ ограничен локацией в США и отсутствием визового спонсорства.
Только для США
Современный ML-стек
Сильный пакет льгот
Понятные задачи
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →