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Sr. Data Scientist - People Analytics (AI)

122 713 - 163 618$
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

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TL;DR
Sr. Data Scientist - People Analytics (AI): Building predictive workforce models and AI agents for attrition, turnover, hiring, headcount, and unstructured People data with an accent on statistical modeling, causal inference, and safe LLM-based automation. Focus on deploying and validating Python and SQL models, orchestrating agents over sensitive workforce data, and explaining complex results to HR and senior business leaders.

Location: Miami, Florida, United States; primarily a sedentary office position with physical and office/site presence requirements.

Salary: Annual base compensation of $122,713.49–$163,618; bonuses and commissions may also apply.

Company

hirify.global is a Fortune 500 homebuilder that develops quality homes and provides customer and community services across the United States.

What you will do

  • Partner with HR leaders to define forecasting and automation needs and build trusted models and AI agents.
  • Build, deploy, monitor, retest, and refine predictive models in Python and SQL as new data arrives.
  • Develop AI agents that query People data, reason over it, use tools, and take action safely with appropriate orchestration and guardrails.
  • Apply predictive modeling, experimentation, causal inference, uncertainty quantification, and appropriate validation methods.
  • Use LLMs to identify patterns in survey comments and exit interview notes and incorporate findings into models.
  • Work with People data and Data Engineering on data extraction, structuring, quality gaps, and supporting pipelines; explain results to HR and business audiences.

Requirements

  • Bachelor’s degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field, or equivalent experience.
  • 5+ years of relevant experience, or 1+ year with a PhD or 3+ years with an MS, producing models and engineering solutions in a production environment.
  • Depth in predictive modeling, including regression, time series forecasting, and classification.
  • Strong statistical foundation in experimentation and causal inference, with judgment to select appropriate methods.
  • Ability to work independently, design validation approaches, and explain methodology to technical and non-technical reviewers.
  • Hands-on experience building with LLMs, including agents, tool use and function calling, retrieval, or prompt-driven workflows; experience using tools such as Claude.
  • Experience with large, complex operational or HR datasets, including cleaning, structuring, and extracting data through SQL or APIs.
  • Fluency in SQL and strong proficiency in Python.
  • Ability to explain model results and agent behavior in plain language to non-technical HR and business leaders.
  • Ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move or carry up to 25 lbs; finger dexterity is required.

Culture & Benefits

  • Full-time employment with health, dental, and vision insurance.
  • 401(k) plan with a $1-for-$1 company match up to 5%.
  • Paid parental leave, sick leave, holidays, personal days, and up to three weeks of vacation from hire.
  • Education assistance, up to $30,000 in adoption assistance, an associate assistance plan, referral bonuses, and home purchase discounts.
  • Benefits are provided in accordance with company policy and applicable plan terms.

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