Data Scientist

vor 2 Wochen

Vienna, Österreich Microsoft Vollzeit

Overview

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like Power BI, Synapse Analytics, Azure Data Factory, Azure Data Explorer. We will bring the world’s data to the Microsoft Cloud, power a new class of data first applications, and empower everyone on the planet to make better decisions with data.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our ideas are better, our products are better, and our customers are better served.

As a Data Scientist in Microsoft’s HLS AI Benchmarking team, you will harness the power of AI and data to drive innovation and empower decision-making, shaping the effective and responsible use of AI within healthcare. You will be instrumental in advancing AI in healthcare, providing real-world benefits to professionals in the Health and Life Sciences sector. This opportunity will allow you to develop and benchmark AI models for healthcare applications, ensuring they meet real-world use cases; to collaborate with cross-functional teams to create datasets and benchmarks that adhere to Microsoft’s standards for privacy, safety, and compliance; you will also have the opportunity to enhance your technical skills in developing, deploying, and maintaining high throughput AI-LM pipelines and reporting infrastructure.

Join our team of research and data engineers in advancing AI in healthcare. We're looking for a self-directed, hands-on data engineer/scientist who thrives in a fast-paced environment and is motivated by creating real-world benefits for the Health and Life Sciences professionals. You will test and benchmark leading AI models for their application in real healthcare use-cases voiced by our customers and customer-facing teams.

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.

Qualifications

Required/Minimum Qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR 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 experience OR 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

We are looking for passionate data engineer/scientists with experiences working with all service aspects of developing, deploying and improving high throughput AI-LM pipelines and reporting infrastructure.

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) Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

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