Principal Applied Scientist - Barcelona, España - Microsoft

Descripción

Overview

Microsoft Audience Network ( MSAN ) part of the Web E x periences T eam ( WebXt) is seeking a Principal Applied Scientist to join us in Barcelona, Spain .

This is an exceptional opportunity to apply your advanced skills in one of the fastest-growing businesses, to solve real-world problems on a scale. Our goal at MSAN is to maximize value for users and advertisers through our platform.

As the Principal Applied Scientist, you will specialize in creating and enhancing machine learning technologies in areas such as natural language processing(NLP) , computer vision(CV) , and large language models(LLM). You will be a key player within a dynamic team, contributing to and collaborating with other talented colleagues on cutting-edge machine learning challenges from a real ads recommender system.

Computational Advertising has emerged as a new interdisciplinary field encompassing information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to address the complex problems inherent in online advertising. The exponential growth of online advertising offers immense opportunities. At Microsoft, we are constantly challenging ourselves, infusing curiosity and imagination to reshape the realm of possibilities. We innovate in machine intelligence, data analytics, big data, and distributed systems, creating the future with a customer-focused mindset.

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 Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years 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 4+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience

Preferred Qualifications:

PhD with research experience in data science, machine learning and/or related fields

Experience developing end to end analytics solutions or ML systems for real world applications

Have publications at peer-reviewed Data Science/AI conferences (e.g. KDD, CIKM, SIGIR, NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)

Responsibilities

Participate in design, implementation, and execution across a variety of features regarding data science and machine learning

Drive innovations in analytics applications, retrieval, ranking and generic NLP, CV models used in an ads recommender systems

You will master a broad area or research and understand any applicable research techniques. You'll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.

You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You'll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.

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