Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
As a Data Scientist, you will work on some of the world’s largest and most advanced services, leveraging data to improve user experiences, enhance service quality, and drive measurable impact at global scale. You will partner with teams across Microsoft to analyse complex datasets, generate actionable insights, and shape the behaviour of intelligent services that empower millions of users every day.
Apply data analysis, AI, and modelling techniques to understand user behaviour, identify opportunities, and inform product improvements.
Write robust, reusable, and extensible code to support analysis, modelling, and operationalization at scale.
Use AI-powered tools in your 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 modelling, 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.
Qualifications
Required Qualifications
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 (code quality, repository hygiene, code reviews, unit testing, design documentation, continuous integration, and deployment).
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
Experience in customer-facing roles, project delivery, professional services, and/or consulting.
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 (e.g., Spark, Hadoop, Hive, Azure ML).
Experience with experimentation frameworks and understanding how to measure end-user-impacting metrics.
Experience with ML tools to build models and analyse data (e.g., Python, R, scikit-learn, TensorFlow, PyTorch, ML.NET).
Experience with large language models (LLMs), including prompt engineering, fine-tuning, and evaluation for real-world applications.
Data Science IC3 - The typical base pay range for this role across Norway is kr 628,000.00 - kr 1,018,000.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here
https://careers.microsoft.com/v2/global/en/corporate-pay/norway-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
