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17 часов назад

Data Scientist (AI)

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

Текст:
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TL;DR
Data Scientist (AI) (Python/SQL): Building enterprise data inventories, analytical models, dashboards, and data foundations for agentic workflows with an accent on data quality, lineage, semantic layers, and retrieval-augmented generation. Focus on preparing knowledge bases and evaluation datasets, connecting business processes to data structures, and monitoring the reliability of data products and intelligent agents.

Location: Onsite at the corporate headquarters in the Brickell area of Miami, Florida

Company

hirify.global builds and operates large data centers for AI, colocation, cloud, and Bitcoin mining workloads.

What you will do

  • Own or contribute to the enterprise data inventory, including data owners, definitions, lineage, dependencies, and quality gaps.
  • Translate business processes and stakeholder needs into data requirements, source mappings, data models, quality rules, and acceptance criteria.
  • Partner with Data Operations and Software Engineering to improve ingestion, transformation, integration, monitoring, governance, and data lifecycle management.
  • Prepare enterprise data for agentic workflows through semantic layers, knowledge bases, metadata, retrieval indexes, data contracts, access controls, and evaluation datasets.
  • Develop reusable data science models, reports, dashboards, and decision-support products.
  • Monitor data products and agentic workflows, using quality findings and user feedback to drive improvements and communicate business impact.

Requirements

  • Bachelor’s or master’s degree in data science, statistics, computer science, engineering, business analytics, mathematics, or a related field.
  • 6+ years of experience in data science, enterprise data management, analytics engineering, data engineering, or a closely related discipline.
  • Strong proficiency in Python and SQL, with experience in relational databases, data warehouses, and ETL/ELT processes.
  • Familiarity with Snowflake or BigQuery, data modeling, data quality, and data lineage concepts.
  • Understanding of machine learning and AI concepts, including large language models, natural language processing, retrieval-augmented generation, and intelligent agents.
  • Ability to connect business processes to data structures, analytical outputs, and practical implementation plans, while communicating clearly with technical and business stakeholders.

Nice to have

  • Experience with semantic layers, ontologies, metadata management, knowledge bases, embeddings, or agent evaluation.
  • Experience with Airflow or Luigi, Tableau, Metabase, Git, CI/CD, or cloud infrastructure.

Culture & Benefits

  • Medical, dental, vision, life, and short-term and long-term disability insurance.
  • Paid time off and a benefits and wellness program.
  • Entrepreneurial environment built around radical transparency and a growth mentality.
  • Opportunity to collaborate with professionals from software development, energy, engineering, finance, entrepreneurship, and consulting.
  • Opportunity to design and pitch products and initiatives to senior leadership.

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