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10 дней назад

Senior AI Data Scientist (Azure/Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior AI Data Scientist (Azure/Databricks): Developing machine learning solutions for early risk detection and scalable project analytics with an accent on end-to-end data science, predictive modeling, and Azure-based machine learning foundations. Focus on building data pipelines, evaluating proofs of concept, transitioning solutions into production, and ensuring model reliability and scalability.

Location: Solna/Stockholm, Sweden; flexible hybrid working model

Company

hirify.global is a Swedish IT consulting firm delivering IT solutions, software development, technology teams, and recruitment services across Sweden.

What you will do

  • Develop machine learning solutions for early risk detection, proactive decision-making, and measurable business value.
  • Translate business challenges and processes into indicators, predictive models, business logic, visualizations, and actionable insights.
  • Design and deliver end-to-end data science solutions, including data pipelines, model development, deployment, and evaluation.
  • Build proofs of concept for AI and machine learning use cases and support successful solutions through transition to production.
  • Contribute to a scalable machine learning platform in Microsoft Azure and Databricks, including cloud infrastructure, data pipelines, and CI/CD.
  • Collaborate with business stakeholders and data and analytics teams while ensuring data quality, model reliability, scalability, and maintainability.

Requirements

  • Academic degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.
  • Proven experience as a Data Scientist applying machine learning to real-world business problems.
  • Strong programming skills in Python and proficiency in SQL.
  • Experience with cloud platforms, preferably Microsoft Azure and Databricks.
  • Good understanding of databases, data warehouses, and data lakes.
  • Experience with independent data exploration, data validation, and visualization.
  • Ability to translate business requirements into analytical solutions and communicate findings to stakeholders.
  • Understanding of the machine learning lifecycle from experimentation and model development through deployment.
  • Professional proficiency in both Swedish and English, plus strong analytical and problem-solving skills and the ability to work independently and collaboratively.

Culture & Benefits

  • Dynamic and innovative workplace focused on advancements in robotic technologies.
  • Collaboration with cross-functional teams on meaningful projects.
  • Competitive compensation and comprehensive benefits package.
  • Supportive culture with continuous learning, growth, and professional development.
  • Flexible hybrid work model and 25 days of annual leave.
  • Annual wellness allowance of 3,500 SEK.

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