Data Scientist at Microsoft

, , Norway -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, AI, Modelling Techniques, Software Engineering, Machine Learning, Statistical Techniques, Data Quality, Experimentation Frameworks, Python, R, Large Language Models, Prompt Engineering, Data Preparation, Cross-Functional Collaboration, Metrics Development, Evaluation Frameworks

Industry

Software Development

Description

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. Responsibilities: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. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting resultsOR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting resultsOR equivalent experience.2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Preferred Qualifications:Software engineering experience covering software engineering best practices (code quality, repo hygiene, code reviews, unit testing, design documentation, continuous integration, deployment).Track record of defining, delivering, and optimizing explorative 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 in experimentation frameworks and understanding how to measure end user impacting metrics.Experience with ML tools to build models and analyze data (e.g. Python, R, scikit-learn, TF, PyTorch, ML.NET).Experience with large language models (LLMs), including prompt engineering, fine-tuning, and evaluation for real-world applications. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. *

Responsibilities

As a Data Scientist, you will leverage data to improve user experiences and drive measurable impact. You will apply data analysis and AI techniques to understand user behavior and inform product improvements.