Data Scientist 2

Requirements

  • Bachelor’s, Master’s, or Doctorate degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field, or equivalent experience.
  • Relevant experience in data science including working with structured/unstructured data, applying statistical methods, and communicating results.
  • Software engineering experience with best practices including code quality, repository hygiene, code reviews, unit testing, design documentation, continuous integration, and deployment.
  • Ability to meet Microsoft and customer/government security screening requirements, including passing Microsoft Cloud background checks.

Nice to Haves

  • Experience in customer-facing roles, project delivery, professional services, and/or consulting.
  • Track record delivering exploratory data science and machine learning projects addressing real-world problems.
  • Knowledge of distributed big-data computing systems such as Spark, Hadoop, Hive, and Azure ML.
  • Experience with experimentation frameworks and measuring end-user-impacting metrics.
  • Experience with ML tools like Python, R, scikit-learn, TensorFlow, PyTorch, ML.NET.
  • Experience with large language models (LLMs), including prompt engineering, fine-tuning, and evaluation for applications.

What You'll Be Doing

  • Apply data analysis, AI, and modelling to understand user behaviour and inform product improvements.
  • Write robust, reusable, and extensible code for analysis, modelling, and operationalization at scale.
  • Leverage AI-powered tools to accelerate analysis, experimentation, and development.
  • Develop and maintain metrics and evaluation frameworks to assess service quality and impact.
  • Present clear, actionable insights to senior leaders and stakeholders to drive data-driven decisions.
  • Collaborate cross-functionally with local and remote teams to deliver scalable and impactful solutions.
  • Acquire, prepare, and validate datasets, contributing to best practices in data collection and quality.
  • Evaluate and improve products to ensure intelligent services evolve to meet user needs.
  • Design, evaluate, and optimize prompts and fine-tuning strategies for large language models.

Perks and Benefits

  • Competitive base pay range from kr 628,000 to kr 1,018,000 per year.
  • Potential eligibility for additional benefits and compensation.
  • Opportunity to work on cutting-edge AI technology impacting billions of users worldwide.
  • Agile development environment with diverse expertise and collaborative culture.
  • Inclusive workplace supporting growth mindset, respect, integrity, and accountability.
AI Summary ✨

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