Senior Data Scientist — Microsoft
NewCHF 101'500 - 154'000
Microsoft · Zürich (ZH)
- Location
- Zürich
- Contract
- full-time
- Posted
- 4 days ago
SalaryCHF 101'500 - 154'000
Role 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?
- 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?
- Business Understanding and Impact
- Leads data-science projects or teams to align with business needs and deliver value. Data Preparation and Understanding
- /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
Main 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
What the company offers
- /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 219,400.00 per year.
- Certain roles may be eligible for benefits and other compensation.
Application process
- 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 .
- 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, read more about requesting accommodations.
Company and context
- 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.
Additional details
- 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?
- 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.
- 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.
- Embody our culture and values Qualifications
- 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
Notes and original content
- Responsibilities
- 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
- Evaluation
- 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
