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Business Intelligence Developer II (AI/ML)

Тип работы
fulltime
Грейд
middle
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
Business Intelligence Developer II (AI/ML): Building data models, dashboards, automated pipelines, and lightweight analytics tools for Safety, Quality, Mission Assurance, and Manufacturing Operations with an accent on SQL, Python, visualization, and machine learning. Focus on deploying predictive models, designing cross-functional data structures, and delivering reliable self-service reporting for complex aerospace operations.

Location: Space Coast, Florida, United States. Applicants must be U.S. citizens, lawful permanent residents, or protected individuals due to ITAR/EAR export control requirements.

Requirements

  • Bachelor’s degree in engineering, business, data analytics, or a related technical field.
  • 2+ years of SQL experience and familiarity with applying AI/ML concepts to practical business problems.
  • Experience with professional data visualization tools such as Tableau or Power BI.
  • Experience building or contributing to internal dashboards, automation applications, or lightweight web tools.
  • Experience gathering customer requirements and presenting data solutions.
  • Must meet U.S. export control eligibility requirements.

Nice to have

  • 3+ years building models and reports with Databricks.
  • Experience with Python, DBSQL, Spark, MLflow, or Databricks ML for automated pipelines and production ML models.
  • Experience with Databricks Apps, React, Tableau, Power BI, or Databricks Dashboards.
  • Experience automating Airtable, Odoo, or Smartsheet tools.
  • Knowledge of hierarchical data structures, hardware bills of materials, production plans, engineering, supply chain, manufacturing, or aerospace.

What you will do

  • Design and build data models supporting Safety, Quality, and Mission Assurance processes, systems, and tools.
  • Create dashboards and key metrics for program leadership, decision-making, and business reviews.
  • Develop automated data pipelines using Python and SQL for engineering, supply chain, configuration management, production, and operations.
  • Apply AI/ML techniques and deploy machine learning models for predictive insights and process improvements.
  • Build lightweight applications and self-service analytics tools for SQMA and Manufacturing Operations.
  • Partner with directors, engineers, and specialists to define analytics needs, lead cross-functional data modeling, and maintain data quality documentation.

Culture & Benefits

  • Safety, quality, collaboration, inclusion, and ownership are core working principles.
  • Medical, dental, vision, life insurance, disability coverage, and paid parental leave.
  • 401(k) with company matching of up to 5% and an Education Support Program.
  • Stock options for regular employees working at least 20 hours per week.
  • Up to four weeks of paid time off and up to 14 company-paid holidays.

Hiring process

  • Interviews include a technical assessment.
  • A standard background check is required for all positions.

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