Senior Data Scientist

Are you an experienced Data Scientist who loves what you do? Would you like to be part of a global customer-facing team focused on solving complex, real-world business problems? Do you want to join a world-class community of technical leaders, highly specialized in their disciplines, working together to bring the best practices of Artificial Intelligence, Machine Learning, Engineering, and Architecture to the world’s largest enterprise customers?

The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global engineering consulting organization supporting our most complex and cutting-edge customer engagements. We aim to improve business performance through Data & AI, developing innovative solutions and engineering standards for lasting success. We are committed to Responsible AI, helping our customers build ethical, transparent, and trustworthy AI solutions.

We are hiring a Senior Data Scientist with deep experience in advanced statistical data analysis, machine learning, and artificial intelligence.

Our team fosters a culture of continuous learning and growth, encourages diverse viewpoints, and promotes relentless collaboration. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact the economy and society worldwide.

Microsoft’s mission is to empower every person and organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. We uphold values of respect, integrity, and accountability, fostering an inclusive culture where everyone can thrive both at work and beyond.

Responsibilities

1. Leverage data science, AI, and business domain knowledge to enhance business performance, evaluate project plans, communicate goals, and share insights with stakeholders.
2. Acquire, prepare, and explore data through querying, visualization, reporting techniques, and collaboration, ensuring data integrity.
3. Apply machine learning, generative AI, and statistical analysis to develop, train, optimize, and evaluate models, and communicate findings effectively.
4. Test, review, and improve models by analyzing performance, incorporating feedback, and contributing to review processes.
5. Write and debug efficient, scalable code, collaborating with engineering teams to integrate data models into customer systems and production environments.
6. Work with customers and Microsoft teams to define needs, create roadmaps for performance improvements, and influence stakeholders through storytelling and visual tools to drive value.

Other

Embody our culture and values.

Qualifications

1. Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field, with business-focused data science experience.
2. Experience leading complex projects, designing scalable solutions, and applying advanced techniques to solve business challenges. Strong coding, problem-solving, and communication skills.
3. Hands-on software engineering experience (e.g., Python, Scikit-learn, PyTorch) with established data science and generative AI frameworks.
4. Familiarity with deploying large-scale AI solutions into production within a cloud environment.

Preferred

• Fluency in German.

Microsoft is an equal opportunity employer. Qualified applicants will receive consideration without regard to age, ancestry, citizenship, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, disability, political affiliation, veteran or military status, race, ethnicity, religion, sex, sexual orientation, or other protected characteristics. If you need assistance or accommodations due to a disability during the application process, please read more about requesting accommodations.