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9 часов назад

Data Science Manager (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
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
Data Science Manager (AI): Leading hands-on development of production data platforms, machine learning systems, and LLM-integrated features with an accent on data engineering, model delivery, and agentic architectures. Focus on designing governed pipelines, deploying and monitoring models, guiding cloud architecture, and mentoring a team of data scientists.

Location: Remote - United States

Eligible for a 12–15% bonus in addition to the base salary.

Company

hirify.global Retail provides data-driven retail loss solutions for returns, shrink reduction, and incident management across omnichannel retail.

What you will do

  • Lead end-to-end delivery of data science projects from ambiguous business requests through production-ready systems.
  • Design and maintain data pipelines, data models, governance standards, and cloud infrastructure for data science projects.
  • Build, evaluate, deploy, monitor, and iterate on production machine learning models.
  • Architect LLM-integrated features and agentic workflows, including prompt engineering, tool use, and output evaluation.
  • Write production-grade Python and SQL, enforce code review and documentation standards, and partner with engineering on product integration.
  • Manage, mentor, recruit, and develop a team of 2–4 data scientists while contributing to the data and analytics roadmap.

Requirements

  • Master’s degree in a quantitative field, or a bachelor’s degree with significant professional experience.
  • 6+ years of experience in data science, data engineering, or a closely related technical discipline.
  • 1+ year of direct people management or formal technical leadership experience.
  • Expert-level Python and SQL, with experience writing production code.
  • Strong knowledge of data pipelines, warehousing, data modeling, source systems, and machine learning lifecycle management.
  • Experience with cloud data platforms such as Snowflake, Azure, AWS, or GCP, plus software engineering practices including version control, testing, and CI/CD.

Nice to have

  • Experience with dbt, Airflow, Spark, MLflow, feature stores, or model registries.
  • Experience with LLMs, RAG, fine-tuning, prompt engineering, or agent frameworks such as LangChain or LlamaIndex.
  • Familiarity with agentic AI architectures, including tool use, memory, and orchestration.
  • Experience in retail, fraud detection, or transaction-level data at scale.

Culture & Benefits

  • Remote work arrangement in the United States with minimal optional travel.
  • Medical, dental, and vision plan options, plus health savings and flexible spending accounts.
  • Paid parental leave, paid time off, life coverage, and short- and long-term disability benefits.
  • 401(k) with immediate vesting and company match.
  • Learning and development opportunities, plus access to health and wellbeing resources.

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