Senior Data Scientist

Are you an experienced Data Scientist, and do you love what you do? Would you like to be a part of a global customer-facing Team focused on solving complex, real-world business problems? Would you like to be a part of a world-class community of technical leaders, highly specialized in their disciplines and working together as one 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 that supports our most complex and leading-edge customer engagements in improving their business performance with the power of Data & AI. EAG develops approaches, innovative solutions, and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, and we help our customers build and operate 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 embraces a continuous learning and growth mindset, encourages diverse viewpoints and 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 people worldwide.

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

• Leverage data science, AI, and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders.
• Acquire, prepare, and explore data through querying, visualization, reporting techniques, and collaboration with other teams, ensuring data integrity.
• Apply machine learning, generative AI, and statistical analysis to develop models, train, optimize, and evaluate them, and communicate findings to stakeholders.
• Test, review, and improve models by analyzing performance, incorporating feedback, and contributing to the review process.
• Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems and production.
• Collaborate with customers and Microsoft teams to define business needs, create roadmaps for performance improvements, and influence stakeholders using storytelling and visual tools to drive solution value.
  
  

Other

Embody our culture and values

Qualifications

• Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND business-focused data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).
• Experience leading complex projects, designing scalable solutions, and applying advanced techniques to solve business challenges. Strong coding, problem-solving, and communication skills.
• Deep hands-on software engineering experience (e.g. Python, Scikit, PyTorch etc) with main established data science and generative AI frameworks.
• Familiarity with building and deploying large-scale AI solutions into production within a cloud environment.
  
  

Preferred

• Fluency in German.
  
  

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.