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2 дня назад

Senior Data Scientist (AI, People Analytics)

136 400 - 272 500$
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, People Analytics): Building AI-powered workforce analytics, employee listening, and predictive modeling solutions with an accent on machine learning, NLP, causal inference, and generative AI. Focus on integrating structured and unstructured workforce data, evaluating people programs through experimentation, and translating complex model outputs into executive decisions.

Location: Remote within the United States

Salary: $136,400–$225,000 annually in Colorado; $136,400–$248,600 annually in Washington; $136,400–$272,500 annually in California; $150,800–$272,500 annually in NYC. Annual bonus eligibility may apply.

Company

hirify.global provides a cloud compliance platform connecting tax and technology, processing customer API calls and tax returns at global scale.

What you will do

  • Design and deploy machine learning, predictive modeling, NLP, sentiment analysis, and generative AI solutions for workforce analytics.
  • Lead analytics for employee listening programs, including engagement surveys, pulse checks, lifecycle touchpoints, and continuous feedback channels.
  • Build text analytics models to identify themes, sentiment trends, and early attrition signals in employee feedback.
  • Integrate HRIS, performance, survey, qualitative, and collaboration data into a holistic employee experience view.
  • Apply experimental design, causal inference, and quasi-experimental methods to evaluate people programs.
  • Partner with senior People, Finance, and business leaders to communicate insights and support data-driven decisions.

Requirements

  • 5+ years applying advanced analytics methods to people or business decisions.
  • Proficiency in Python and SQL; experience with R is a plus.
  • Experience building, validating, and iterating on statistical or machine learning models using large, complex datasets.
  • Experience with employee listening platforms such as Qualtrics, Glint, Culture Amp, or Medallia.
  • Demonstrated use of NLP, text analytics, sentiment analysis, LLMs, or generative AI for real-world analytics problems.
  • Bachelor’s degree or higher in a quantitative field, or equivalent practical experience.

Nice to have

  • Experience with R.
  • Experience influencing senior, non-technical stakeholders and translating analytical complexity into clear recommendations.

Culture & Benefits

  • AI is embedded in workflows, decision-making, and products.
  • Paid time off and paid parental leave.
  • Bonus eligibility for many employees, depending on the applicable plan and role.
  • Location-dependent medical, life, and disability insurance.
  • Employee resource groups with senior leadership and executive sponsorship.

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