Data Scientist (AI, Remote)

Copenhagen, Capital Region
Posted 2 weeks, 6 days ago
Data Science

About the role

Job summary

An experienced Data Scientist is sought to enhance data and analytics capabilities, focusing on AI tools to improve model quality and solve complex business challenges. This role involves end-to-end ownership of data-driven products and insights, ideal for those who enjoy translating data into actionable insights using modern AI practices.

Qualifications

  • Valid visa and work permit for Denmark.
  • Strong experience with cloud-based data platforms, preferably Azure.
  • Proficient in Python programming.
  • Hands-on experience with data processing frameworks like PySpark.
  • Experience in developing and deploying machine learning models and advanced analytics solutions.
  • Strong analytical mindset with skills in data exploration and statistical analysis.
  • Familiarity with deployment practices, including version control and Azure DevOps CI/CD.
  • Experience using AI-assisted tools in daily work.

Responsibilities

  • Drive data science use cases from problem framing to delivering actionable insights.
  • Analyze data to identify patterns and opportunities for business impact.
  • Develop, validate, and operationalize machine learning models.
  • Collaborate with stakeholders to create data-driven solutions.
  • Build and maintain data pipelines for analysis and model development.
  • Ensure solutions are scalable and production-ready in collaboration with engineering teams.
  • Utilize AI tools throughout the data science lifecycle.
  • Identify opportunities to apply AI to enhance business processes.

Skills

  • Strong analytical and problem-solving skills.
  • Ability to work independently and take ownership of projects.
  • Experience with Databricks and Spark-based environments.

Education

  • Relevant degree in Data Science, Computer Science, or a related field is preferred.

Tools

  • Azure Databricks, Microsoft Fabric, Python, PySpark, Azure DevOps, AI-assisted tools (e.g., Codex).
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