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2 дня назад

Senior Data Scientist

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 (Machine Learning): Own end-to-end data science projects, building and deploying production machine learning models with an accent on statistical modeling, experimentation, and scalable data systems. Focus on feature engineering, A/B testing, causal inference, model monitoring, and translating complex analyses into business and product decisions.

Location: United States · Remote

Company

Specialist executive search firm focused on connecting organizations undergoing AI transformation with relevant leadership and specialist talent.

What you will do

  • Own data science projects from problem definition and exploratory analysis through model development, validation, deployment, and monitoring.
  • Build and optimize machine learning models, including feature engineering, model selection, and performance improvement.
  • Partner with engineering and product teams to integrate models into applications and data pipelines with scalability and reliability.
  • Design experiments, including A/B tests and causal inference studies, to inform product and business decisions.
  • Communicate findings and recommendations to technical and non-technical stakeholders.
  • Improve data infrastructure and workflows while mentoring junior team members and contributing to data science best practices.

Requirements

  • 5–8 years of professional data science experience.
  • Hands-on experience building and deploying production machine learning models.
  • Strong foundation in statistics, experimental design, and machine learning fundamentals.
  • Fluency in Python or R and SQL.
  • Experience across the full model lifecycle, from scoping and feature engineering through validation, deployment, and monitoring.
  • Ability to explain technical work and uncertainty clearly to technical and non-technical audiences.

Culture & Benefits

  • Remote work from the United States.
  • The posting is intended for future opportunities and adds applicants to a candidate network rather than applying to one specific open role.
  • Potential opportunities span AI transformation initiatives across technology, financial services, professional services, and healthcare.

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