Senior Applied Scientist/Research Software Developer
hace 2 semanas
Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more openness, and sky's the limit thinking in a cloud-enabled world.
Our Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Job SummaryWe are hiring a Senior Applied Scientist/Research SDE for the Gray Systems Lab (GSL), an applied research group part of the Azure Data CTO office. GSL tackles interesting challenges in both open-source and proprietary technologies related to analytics, cloud, AI, and storage systems among others.
Responsibilities- Establishes collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact.
- Brings new technology and approaches into production by applying long-term research efforts to solve immediate product needs.
- Independently works to create product impact by identifying approach, and applying, improving, or creating a research-backed solution to positively impact a Microsoft product or service.
- Serves as an expert within product domain and shares knowledge of changes in industry trends and advances in applied technologies with engineers and product teams.
- Reviews business and product requirements and incorporates state-of-the-art research or previously tested solutions occurring at Microsoft and the academic field to formulate plans that will meet business goals.
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND extensive related experience (e.g., statistics predictive analytics, research)OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)OR Doctorate in Computer Science, or Computer Engineering, or related field AND related experience (e.g., fault-tolerant distributed systems, modeling, research)
- Extensive experience with one or more of the following languages: C#, Java, Python, C++, Rust.
- Experience publishing academic papers as a lead author or essential contributor.
Industry leading healthcare, educational resources, discounts on products and services, savings and investments, maternity and paternity leave, generous time away, giving programs, and opportunities to network and connect.
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