The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with Microsofts most strategic Healthcare and Life Sciences customers who are looking to leverage the latest technologies to address their toughest challenges. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with data scientists, program managers and engineers from your team and our customers teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers toughest challenges.
We are looking for a Data Scientist with expertise in developing statistical techniques to analyze data and find patterns. You will work cross-functionally with several teams including data scientists, engineering crews, product teams, and program management to deploy business solutions for Microsoft clients in the Healthcare and Life Sciences sector.
Requirements: Required Qualifications:
3+ years of data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results). AND Bachelors degree in Engineering, Computer Science, Mathematics, Statistics, or related field
OR 2+ year of data-science experience AND a Masters degree in Engineering, CS, Mathematics, Statistics or a related field.
OR a PhD degree in Engineering, CS, Mathematics, Statistics or a related field.
OR equivalent experience
Expertise in machine learning models with hands-on experience applying them in real-world scenarios.
Preferred Qualifications:
Experience working as part of geographically dispersed, diverse, and virtual teams.
Enjoy travel and are comfortable with travel up to 25% (once per quarter)
Masters degree in Engineering, Computer Science, Mathematics, Statistics, or related field.
Demonstrated ability to work with customers and collaborate across company boundaries.
Knowledge of advancements and emerging research in foundation models, including large language models (LLMs).
This position is open to all candidates.
