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Senior Data Scientist (AI/ML)

124 000 - 329 200$
Формат работы
remote (только USA)
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
Senior Data Scientist (AI/ML): Leading data acquisition, quality, modeling, experimentation, and model deployment for business and stakeholder decision-making with an accent on AI/ML, statistical analysis, and data integrity. Focus on validating scalable production models, resolving upstream data quality issues, and communicating complex findings to technical and non-technical audiences.

Location: Remote, United States

Salary: USD $124,000–$329,200 per year

Company

hirify.global is an AI-powered developer platform used by developers and organizations to collaborate, build, scale, and deliver secure software.

What you will do

  • Lead data acquisition, formatting, documentation, privacy compliance, and onboarding of datasets from production systems or third-party vendors.
  • Mentor others in data cleaning and analysis, identify dataset gaps, and resolve data integrity issues with relevant teams.
  • Use data modeling, AI/ML tools, programming languages, and query languages to build models, run experiments, analyze results, and improve methodologies.
  • Drive model validation, implementation, deployment, monitoring, scalability, maintenance, integration, and operational stability.
  • Develop data-driven strategies, project plans, and measurable improvements in business performance while partnering with stakeholders and customers.
  • Communicate complex statistics and machine learning topics, write maintainable code, and contribute to code and model reviews.

Requirements

  • Bachelor’s degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or a related field plus 5+ years of data science or related experience; or a master’s degree plus 3+ years; or a doctorate plus 1+ year; equivalent experience is also accepted.

Nice to have

  • Technical understanding of regression, classification, time-series analysis, experimental design, and causal inference.
  • Proficiency in Python or R, with experience in SQL, KQL, Spark, and Airflow.
  • Ability to communicate findings to non-technical stakeholders through storytelling and visualization using tools such as Jupyter notebooks, Azure Data Explorer, or Power BI dashboards.

Culture & Benefits

  • Remote-first work environment with competitive pay and flexible working terms.
  • Benefits and additional rewards, including annual bonuses and stock, may be available depending on the role.
  • Learning and growth opportunities, with values centered on customer focus, ownership, collaboration, inclusion, and continuous improvement.
  • Applications are accepted on an ongoing basis until the position is filled; the position will remain open for at least 3 days.

Hiring process

  • Apply through the hirify.global careers application portal.

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