Microsoft Data Scientist 

Austria, Vienna, Vienna 

338900030

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND multi-year data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experienceOR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND multi-year data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) preferably in the Healthcare sector.
• Previous experience in using Python and related ML / AI libraries, or similar tools such as Tableau, SAS, etc.
• Previous experience in Azure and AzureML.
• Strong interest in AI / Machine Learning within the Healthcare sector.

The salary for this role is starting from 59,000 euros per annum depending on experience.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Responsibilities include:

• Work with product, customer-facing and research teams to develop new datasets and benchmarks as required to fulfill identified, real-life use-cases and in adherence to Microsoft’s policies on privacy, safety and compliance
• Active use and participation with main Babelbench code and team
• Continuously communicate and triage to determine priorities with stakeholders and execute the most impactful
• Learn from, support and collaborate with related research, data science and engineering peers.
• Stand-up new models / end-points and maintain existing end-points to provide a reliable and comparable set of benchmarks
• Publish all benchmark results in appropriate forums (Babelbench and others as required) in compliance with Microsoft’s privacy, security and customer commitments.
• Learn and understand current state of the industry, including tools, techniques, strategies, and processes that can be utilized to improve process efficiency and performance; maintain knowledge of current trends within the discipline. (Attending internal research conferences and participating training sessions may be required)