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Senior Data Scientist/Research Engineer
hace 1 mes
Overview
At Microsoft, we're passionate about empowering every person and organization on the planet to achieve more. 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. We're building the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We're integrating our disparate products into Azure Synapse Analytics with a set of experiences that simplify and accelerate time to value.
In the Gray Systems Lab (GSL), an applied research group part of the Azure Data CTO office, we tackle interesting challenges in both open-source and proprietary technologies related to analytics, cloud, AI, and storage systems. We build reliable, highly scalable and highly performing distributed systems for data analytics on Azure, publish in top-conferences, and are actively involved in open-source projects.
We value diversity and inclusion, and our team members bring unique perspectives from 10 countries and 4 continents. We foster creativity, open dialogue, and a healthy work-life balance to drive innovation and growth.
We're not just looking for differences, but seeking them out to tap into the collective power of everyone in the company. Our customers are better served as a result.
Responsibilities
- Establish collaborative relationships with product and business groups to provide expertise and drive business impact.
- Bring new technology and approaches into production by applying long-term research efforts to solve immediate product needs.
- Independently create product impact by identifying and applying research-backed solutions to positively impact Microsoft products or services.
- Serve as an expert within the product domain, sharing knowledge of industry trends and advances in applied technologies with engineers and product teams.
- Review business and product requirements to formulate plans that meet business goals.
Qualifications
- Bachelor's, Master's, or Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
- Extensive experience with languages like C#, Java, Python, C++, or Rust.
- Experience publishing academic papers as a lead author or essential contributor.
Benefits
- Industry-leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect
