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Microsoft

Builds workplace software, PCs and cloud services

Data Scientist 2

Data ScienceConfirmed live in the last 24 hours
Full-timeNorwayNOK628k - NOK1M /yr

About the Job

Requirements

  • A Bachelor's, Master's, or Doctorate degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field, with relevant experience in data science, such as working with structured or unstructured data, applying statistical methods, and communicating results, or equivalent experience.
  • Software engineering experience covering software engineering best practices, including code quality, repository hygiene, code reviews, unit testing, design documentation, continuous integration, and deployment.

Responsibilities

  • Apply data analysis, artificial intelligence, and modeling techniques to understand user behavior, identify opportunities, and inform product improvements.
  • Write robust, reusable, and extensible code to support analysis, modeling, and operationalization at scale.
  • Use artificial intelligence-powered tools in daily work to accelerate analysis, experimentation, and solution development.
  • Develop and maintain metrics and evaluation frameworks to assess the quality, performance, and impact of services.
  • Drive data-driven decision-making by presenting clear, actionable insights to senior leaders and stakeholders.
  • Collaborate in a cross-functional environment with local and remote partners to deliver scalable, elegant, and impactful solutions.
  • Acquire, prepare, and validate datasets for analysis and modeling, while contributing to best practices in data collection and data quality.
  • Evaluate and improve existing products to ensure intelligent services evolve to meet user needs.
  • Design, evaluate, and optimize prompts and fine-tuning strategies for large language models.

Desired Qualifications

  • Experience in customer-facing roles, project delivery, professional services, and/or consulting.
  • A track record of defining, delivering, and optimizing exploratory data science and machine learning projects that address real-world problems.
  • Knowledge of distributed big-data computing systems such as Spark, Hadoop, Hive, and Azure Machine Learning.
  • Experience with experimentation frameworks and understanding how to measure end-user-impacting metrics.
  • Experience with machine learning tools to build models and analyze data, such as Python, R, scikit-learn, TensorFlow, PyTorch, and ML.NET.
  • Experience with large language models, including prompt engineering, fine-tuning, and evaluation for real-world applications.

About the Company

Microsoft

Builds workplace software, PCs and cloud services

Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Redmond, WA
Founded
1975

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