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    Senior Applied Scientist/Research SDE - Barcelona, España - Microsoft

    Microsoft
    Microsoft background
    De jornada completa
    Descripción

    Overview

    Microsoft is a company that attracts passionate innovators willing to collaborate, envision possibilities, and advance their careers. It's a realm of endless opportunities, continuous innovation, unbounded openness, and limitless thinking in a cloud-focused universe. The Azure Data engineering team at Microsoft is at the forefront of revolutionizing analytics in the realm of data with a wide array of products covering databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The product portfolio includes a variety of offerings such as Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. The team's mission revolves around constructing the data platform for the AI era, empowering a fresh generation of data-centric applications and fostering a data-centric culture.

    Within Azure Data, the big data analytics team delivers a suite of products empowering data engineers and data scientists to extract insights from diverse data types - structured, semi-structured, and unstructured. Efforts are underway to integrate various products into Azure Synapse Analytics, providing streamlined experiences aimed at simplifying and hastening the value realization process.

    In particular, a Senior Applied Scientist is being sought for the Gray Systems Lab (GSL), an applied research faction within the Azure Data CTO office. GSL delves into intriguing challenges encompassing open-source and proprietary technologies linked to analytics, cloud, AI, and storage systems, among others. The team focuses on developing reliable, highly scalable, and efficient distributed systems for data analytics on Azure, actively engages in top-conferences, and contributes to open-source initiatives. GSL members have authored numerous academic papers and engineered technologies that have significantly impacted Microsoft's financial dynamics. The team delves into cutting-edge technologies like analytics on GPUs, container technologies, graph databases, infrastructure and models for LLMs and data-science, machine learning for systems, among other domains. With a diverse crew hailing from 10 countries and 4 continents, each individual brings a truly unique essence to the team. Within this inclusive and diverse setting, innovation thrives on creativity, open discussions, and a harmonious work-life balance.

    We don't just appreciate differences or unique viewpoints; we actively seek them out and welcome them, tapping into the collective energy of every individual within the company for enhanced customer service.

    Microsoft's mission is to empower every individual and organization globally to achieve greater heights, and this commitment resonates through every facet of our organization. Our culture revolves around fostering a growth mindset and urging both teams and leaders to bring their utmost potential every day. Come aboard and contribute to shaping the future world.

    Qualifications

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND extensive relevant experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field AND relevant experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Computer Engineering, or a related field AND relevant experience (e.g., fault-tolerant distributed systems, modeling, research)
  • Extensive experience in one or more of the following languages: C#, Java, Python, C++, Rust.
  • Experience in publishing academic papers as a lead author or key contributor.
  • Responsibilities

  • Establishes collaborative ties with relevant product and business groups inside or outside of Microsoft and contributes expertise or technology to drive business impact. Takes proactive steps such as technology transfer initiatives, standardization efforts, patent filings, white paper authoring, tool/service development for internal use, or consultancy for product/business groups. May disseminate research to stimulate the creation of new intellectual property for business efficacy.
  • Introduces new technology and methodologies into production by channeling enduring research endeavors to address immediate product requirements. Collaborates with and bridges researchers (across the company community, Microsoft Research [MSR], or their respective organizations) with development teams. Initiates negotiations across teams to ensure application of cutting-edge technology to products in a pragmatic manner aligned with key business objectives. Fosters an understanding of research methodologies used across a group/organization to leverage existing solutions rather than reinventing the wheel.
  • Independently works to yield product impact. Identifies, devises, and implements a research-informed solution (e.g., pioneering, data-driven, scalable, extendable) to positively influence a Microsoft product or service. Delineates an approach to resolving crucial business problems in collaboration with senior team members. May disseminate research to catalyze the generation of new intellectual property for product impact.
  • Acts as a domain expert within the product domain. Acquires profound knowledge in a complex or highly ambiguous service, platform, or domain. Shares insights into industry trend shifts and advancements in applied technologies with engineers and product teams, applying sophisticated concepts to address product requirements and propel solutions. Cultivates a product audience rooted in industry understanding.
  • Reviews business and product prerequisites and integrates cutting-edge research or tested solutions from both Microsoft and academic spheres to craft strategies that align with business goals. Identifies issues and devises strategies to tackle team or feature-level challenges. Provides strategic guidance on data utilization for problem-solving.
  • Benefits/perks vary based on employment nature at Microsoft and work location. Offering includes renowned healthcare, educational resources, product and service discounts, savings schemes, parental leave, ample time-off, charitable initiatives, networking prospects, and more.



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