aipythonsqlllmclassificationcausal inferencepredictive modelingpeople analyticstime series forecasting
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$123к-164к/год
$110к$140кмедиана$170к
По похожим ролям (50) ~ $140к/год
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Чётко описанная senior-позиция с содержательной работой в AI и аналитике персонала, но зарплата заметно ниже рыночного ориентира, а роль будет первой такого типа в команде.
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Ниже рынкаПервая рольСовременный стекПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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