Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше среднего
$175к-237к/год
$120к$140кмедиана$170к
По похожим ролям (49) ~ $140к/год
На СНГ рынке: $3.6к/мес ($2.5к - $4.4к)
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Крутая вакансия
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В Company hidden это чётко описанная роль с ответственностью за полный цикл разработки моделей, влиянием на решения бизнеса и наставничеством; широкий круг задач и работа в офисе могут подойти не всем.
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Широкий круг задачАктуальный стекИИ в рабочих процессахШирокий соцпакетВыше рынка
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AI) (Econometrics/Digital Media): Building and scaling production-ready econometric and machine learning models, quantitative tools, and data pipelines for pricing, experimentation, product optimization, and business decisions with an accent on causal inference, model deployment, and AI-enabled analytics. Focus on translating ambiguous business questions into quantitative frameworks, integrating models into cross-functional workflows, and mentoring junior scientists.
Location: Newark, New Jersey, US
Salary: $175,100–$236,900 annually
Company
A global producer and provider of audio storytelling serving millions of listeners through immersive digital media experiences.
What you will do
Build and scale econometric and machine learning models and quantitative tools from scoping through data pipelining, feature engineering, model development, production deployment, impact measurement, and adoption.
Research AI-driven and other emerging tools, techniques, and data sources for quantitative analysis.
Collaborate with Product, Content, Marketing, economists, analysts, and data scientists to integrate solutions into cross-functional workflows and executive decision-making.
Represent the team in reviews with senior scientists and business leaders.
Mentor junior scientists and help develop scalable, AI-enabled analytical work.
Requirements
Master’s degree or above in statistics, mathematics, data science, business analytics, economics, finance, engineering, computer science, or another quantitative field, or a PhD.
2+ years of hands-on applied or industry experience using Python and SQL with large datasets, empirical analysis, modeling, and data visualization.
Experience formulating and solving loosely defined optimization or measurement problems.
Familiarity with economic methods and reasoning, including causal thinking, incentive design, and counterfactual frameworks, with willingness to learn new econometric methodologies.
Fluency in the mathematical foundations of statistics, machine learning, and economics.
Experience applying econometric methods at scale, including structural modeling and observational causal inference, to pricing or sales optimization, investment decisions, experimentation science, or product optimization in digital media.
Experience with model monitoring, debugging, and long-term maintenance in production environments.
Familiarity with financial and accounting metrics or methods.
Intellectual curiosity about customer value and business outcomes, plus comfort leading ambiguous projects from zero to one.
Culture & Benefits
Inclusive culture focused on creativity, collaboration, and equitable communities.
Health, dental, vision, prescription, life, employee assistance, and mental health support benefits.
Flexible Spending Accounts and adoption and surrogacy reimbursement coverage.
401(k) matching, paid time off, and parental leave.
Additional compensation may include sign-on payments and restricted stock units; final compensation depends on experience, qualifications, and location.
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