Overview
Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?
The Industry Solutions Engineering (ISE) team is a global engineering organization that works side-by-side with customers, on a per-project basis, to collaboratively innovate custom solutions to solve their challenging business problems; from inception to production. We develop broadly applicable, high-impact solution patterns and open-source software assets in collaboration with Microsoft product teams, partners, and open-source communities.
We are hiring a Data Scientist to build and deploy AI systems at scale as part of a cross-functional team—working on projects spanning computer vision, NLP, recommendation systems, predictive analytics, and generative AI. You'll analyse complex datasets, design experiments to validate hypotheses, and establish metrics linking technical outcomes to business impact. Working alongside engineers and technical program managers, you'll architect end-to-end AI solutions, develop production-ready ML pipelines, and contribute to scalable infrastructure serving millions of users while implementing MLOps practices at enterprise scale.
The job title says "Data Scientist", but if you consider yourself an "AI/ML Engineer" this is still for you!
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Our team prides itself on embracing a growth mindset, innovating to empower others, and collaborating 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
Business Understanding and Impact
- Leads data-science projects or teams to align with business needs and deliver value.
Data Preparation and Understanding
- Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.
Modelling and Statistical Analysis
- Develops and applies ML frameworks and best practices for scalable and ethical solutions.
Evaluation
- Oversees review of data analysis and modelling techniques. Ensures selected modelling techniques are appropriate and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects).
Industry and Research Knowledge/Opportunity Identification
- Provides feedback, drives improvement, and shares knowledge as a data science expert.
Coding and Debugging
- Writes and debugs code for complex projects and leads solution development.
Business Management
- Leads ML and data-science partnerships and IP improvement.
Customer/Partner Orientation
- Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
Other · Embody our culture and values
Qualifications
Required Qualifications
- Doctorate OR Master's Degree OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) and 3-5 years working experience
- Enjoy travel and are comfortable with travel up to 25%
Additional or Preferred Qualifications (PQs)
- Customer-facing project-delivery experience.
- Experience working as part of geographically dispersed, diverse, and virtual teams
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done.
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
#ISEngineering #WSS
Data Science IC4 - The typical base pay range for this role across Switzerland is CHF 146,200.00 - CHF 245,900.00 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/switzerland-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**.