aidata sciencestatisticsllmmachine learningdeep learningnlpgenerative aiclassificationregression
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше среднего
$161к-266к/год
$160к$180кмедиана$220к
По похожим ролям (47) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.5к - $4.8к)
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Чётко описанная роль Staff-уровня в AI и Data Science сочетает зарплату выше рыночного ориентира, сильный пакет льгот и работу с ML и генеративным AI в страховых выплатах; основной нюанс - широкий диапазон зарплаты и гибридный формат.
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Широкий диапазонСовременный AIЧёткий уровень ролиЗарплата выше рынка
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Scientist (AI): Building complex machine learning models and LLM-based applications for insurance claims organizations with an accent on advanced statistics, generative AI evaluation, and analytical solution design. Focus on developing AI agents, analyzing hallucinations and errors, guiding technical strategy, and translating ambiguous business problems into data science solutions.
Location: Hybrid in Hartford, Connecticut; other listed locations include Alpharetta and Atlanta, Georgia, and St. Paul, Minnesota, United States
Annual base salary: $161,400–$266,300
Company
hirify.global is a property and casualty insurance company focused on serving customers and communities through innovation and collaboration.
What you will do
Lead business and technical projects involving the design and development of analytical solutions for insurance claims.
Build complex statistical and machine learning models and deliver analytics into marketplace products.
Develop community best practices in AI, machine learning, statistical techniques, and coding.
Guide technical strategy, challenge conventional thinking, build consensus, and communicate analysis and insights to business and technical leaders.
Partner with cross-functional teams to execute data science strategies and support multiple projects.
Mentor less experienced analytics professionals, onboard employees and interns, and contribute to training, recruiting, and talent assessment.
Requirements
Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field plus five years of experience, or an equivalent combination of education and work experience.
Heavy concentration in mathematics, including statistics and programming, business intelligence or analytics, data science tools, and research using large datasets; specific coursework will require additional verification.
Subject matter expertise in modeling, research, analytics, or actuarial work, as well as value creation and business model concepts.
Expertise in multiple statistical software programs and advanced statistics underlying data models.
Ability to develop highly complex models, interpret model results, recommend adjustments, and apply emerging statistical procedures to complex work.
Subject matter expertise in 3–5 areas among regression, classification, machine vision, natural language processing, deep learning, and statistical modeling.
Hands-on experience building and evaluating LLM-based applications and AI agents, including prompt design, retrieval-augmented generation, tool use, and orchestration.
Experience designing generative AI evaluation approaches covering accuracy, hallucination and error analysis, and golden-set creation.
Ability to elicit requirements from non-technical stakeholders and turn ambiguous business problems into well-scoped solutions; familiarity with insurance claims data and processes.
Culture & Benefits
Health insurance coverage for employees and eligible family members from the first day of employment.
Dollar-for-dollar 401(k) matching up to the first 5% of eligible pay, a student-loan savings program, and a hirify.global-funded pension plan.
At least 20 paid time-off days annually plus nine company holidays.
Wellness resources, discounts, caregiving support, and free professional mental health counseling.
Volunteer and charitable giving support through matching gifts and volunteer rewards.
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