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2 дня назад

Data Scientist III (Machine Learning)

108 000 - 216 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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