Über
Data Preparation & Modeling
Acquire, clean, and prepare large datasets for modeling. Build and deploy predictive and prescriptive models using modern machine learning techniques. Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions. Write efficient, maintainable code and ensure scalability for production environments. Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models. Insight, Communication & Enablement
Present findings to senior stakeholders using compelling storytelling and visualizations. Simplify complex ML/AI concepts for diverse audiences to drive understanding and adoption. Document best practices for AI application development and share knowledge across teams. Collaboration & Consulting
Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs. Promote responsible AI practices, including fairness, transparency, and explainability in model and application development. Stay current with emerging AI technologies, frameworks, and tools to continuously enhance solution capabilities.
Qualifications Required/minimum qualifications: 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 results) OR 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 results) OR equivalent experience.
Additional or preferred qualifications: Doctorate 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 results)
OR Master'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 results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
Proven consulting and stakeholder engagement skills with proven ability to influence decisions. Proficiency in Python and SQL; experience with cloud platforms (Azure preferred). Knowledge of Responsible AI principles and ethical data practices. Experience with broader software engineering lifecycle practices, including version control, testing, DevOps, and production deployment of Machine Learning (ML) solutions. Experience with AI-assisted coding practices and specification-driven development. 1 to 3 years of Consulting (including System Integrator, Technical Consulting or Management Consulting) experience. Experience developing and deploying Agentic AI solutions Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay 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.
Sprachkenntnisse
- English
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