Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$217к-326к/год
$170к$200кмедиана$220к
По похожим ролям (49) ~ $200к/год
На СНГ рынке: $3.9к/мес ($3.6к - $4.2к)
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Хорошая вакансия
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Высокая зарплата, понятный круг задач senior-уровня и работа с ML делают вакансию привлекательной, хотя обязательный офисный формат снижает гибкость.
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Только офисАктуальный стекВыше рынкаСфера ИИ
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist Engineer, Digital Experience (Machine Learning/Statistics): Developing predictive models, quantitative research, and executive visual analytics from complex platform and time-series data with an accent on statistical rigor, experimental design, and actionable product metrics. Focus on building models for forecasting, clustering, churn reduction, anomaly detection, and recommendations, while translating analytical findings into decisions for Product, Engineering, and Business leaders.
Location: Santa Clara, California; primarily in-office at the Santa Clara office
Annual base salary: $217,000–$326,000 USD. The role may also be eligible for incentive pay and/or equity.
Company
hirify.global is a data platform company serving hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
What you will do
Develop machine learning models for predictive modeling, time-series forecasting, clustering, churn reduction, anomaly detection, and recommendation systems.
Apply advanced computational methods, multilevel models, and statistical techniques to large datasets.
Conduct quantitative research and experimental design using rigorous research methodologies.
Create executive-level visual analytics that make complex findings accessible to senior stakeholders.
Partner with Product, Engineering, and Business leaders to turn analytical findings into actionable strategy.
Requirements
Work from the Santa Clara office is expected, except during paid time off, work travel, or other approved leave.
Master’s degree or Ph.D. in Computational Methods, Physical Science, Statistics, Applied Mathematics, Data Science, or a related quantitative discipline.
5–8+ years of experience applying machine learning, statistical modeling, and quantitative research.
Proven experience with quantitative research methodologies and experimental design, supported by publications, presentations, or patents.
Advanced proficiency in Python and SQL.
Hands-on experience with Scikit-Learn, TensorFlow/Keras, PyTorch, Pandas, and Statsmodels.
Culture & Benefits
Innovation-focused environment that values critical thinking and challenging problems.
Growth support and opportunities to contribute to meaningful work.
Collaborative culture focused on shared success and low ego.
Flexible time off, wellness resources, and company-sponsored team events.
Inclusive workplace with employee resource groups and an emphasis on inclusive leadership.
Hiring process
Applications are accepted on an ongoing basis until the role is filled.
Accommodations are available for candidates with disabilities throughout the hiring process.
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