Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$108к-216к/год
$170к$180кмедиана$210к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $4.4к/мес ($3.8к - $6к)
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У роли понятный фокус на Data Science, есть работа с моделями и доведением решений до production, а Company hidden - известный работодатель; при этом широкий набор требований и обязательный офис ограничивают гибкость.
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Широкий набор задачСовременные технологииКрупный работодательРабота в офисе
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist III (Machine Learning): Developing predictive models, analytical software, and reusable data science solutions with an accent on machine learning, feature engineering, large-scale data processing, and business insight generation. Focus on building analytics from prototype to production, applying causal and cohort analysis, and translating complex results into actions for stakeholders.
Location: 6701 Center Dr W, Ste E_h, Los Angeles, CA 90045, United States; onsite, full-time.
Salary: $108,000–$216,000 per year, plus annual or quarterly performance incentives.
Company
hirify.global provides a corporate environment for data science and analytics work supporting business and project teams.
What you will do
Develop analytical and predictive models using internal and external data sources.
Build, code, test, document, and maintain analytical software tools and reusable algorithms.
Apply exploratory data analysis, cohort analysis, causal inference, and statistical modeling to identify trends, patterns, and discrepancies.
Present data insights and recommendations to stakeholders and translate analytical results into business actions.
Collaborate with project teams and business partners to define goals, select modeling approaches, direct analysis, and validate results.
Coach and mentor analysts while helping cross-functional teams develop platforms from prototyping through production.
Requirements
Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or a related field; OR a bachelor’s degree or equivalent in one of these fields plus 2 years of experience in analytics or a related field.
Experience coding in Python and building product proofs of concept, including machine-learning-based solutions and feature engineering.
Experience with SQL development, including ETL processes, complex queries, temporary tables, window functions, and user-defined functions.
Experience with BI tools and visualization libraries.
Experience with distributed computing frameworks and large-scale data processing.
Experience with version-control tools for building robust, debuggable, and trackable scripts.
Experience with cloud environments, including AzureML.
Experience with exploratory data analysis, cohort analysis, and causal inference methods.
Experience helping cross-functional teams develop a platform from prototyping to production. Any amount of experience with the required skills is accepted.
Culture & Benefits
Medical, vision, and dental coverage.
401(k), stock purchase program, and company-paid life insurance.
Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
Short- and long-term disability coverage, education assistance with 100% company-paid college degrees, company discounts, military service pay, and adoption expense reimbursement.
Benefits and eligibility depend on job classification and length of employment and may be subject to plan terms.
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