Microsoft is a company where innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking i n a cloud-enabled world.

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.  

Join our team of research and data engineers in advancing AI in healthcare. We're looking for a data scientist/engineer who 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.

Relocation assistance is not available for this role.

Responsibilities

We are looking for a data scientist/ engineer 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).

Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required/Minimum Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR equivalent experience.

2+ years of experience as a full-stack developer, developing front-end as well as backend code utilizing node.js/react or similar.

2+ years of experience with Azure and AzureML or similar products.

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.

Preferred Qualifications:

• SRE experience to configure/deploy/maintain end-points / experience deploying setting-up models

• Interest in AI/machine learning in healthcare.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until June 24, 2024.

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .