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As location intelligence becomes increasingly central to personalized and trustworthy user experiences, the Microsoft Location Service team is advancing the quality, scale, and impact of location based insights across Microsoft. Our technology powers products including Bing, Ads, Azure Maps, Content Feeds, Copilot, and other Microsoft services, enabling context aware experiences at global scale. We are seeking a Senior Applied Scientist to advance Microsoft’s location intelligence through large scale data driven modeling, geospatial analysis, and rigorous experimentation.
Job Responsibility:
Formulate complex and ambiguous location intelligence problems into clear hypotheses, success metrics, and evaluation strategies
Design, execute, and analyze rigorous experiments and evaluations
Develop data driven models, algorithms, and analytical approaches for location inference and geospatial understanding
Drive product impact by translating scientific insights into actionable recommendations
Partner closely with product managers and engineers
Analyze large scale data to identify root causes of quality issues
Communicate findings, trade offs, and recommendations clearly
Provide applied science leadership through reviewing experimental designs and methodologies, mentoring others, and adopting AI enabled workflows
Requirements:
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field
Strong foundation in algorithms, data structures, statistics, and data analysis
Demonstrated experience developing data driven or model based solutions that influence or support production systems
Proficiency in at least one general purpose programming language
Proven ability to formulate ambiguous problems, take ownership of solutions, and deliver meaningful impact at scale
Strong collaboration skills
Excellent written and verbal communication skills
High learning agility
Nice to have:
Advanced degree in Computer Science, Data Science, Engineering, or a related technical field
Experience designing or influencing large scale data processing, modeling, or inference systems
Demonstrated strength in analytical modeling and experimentation applied to high impact product or system challenges
Deep proficiency in C# and the .NET ecosystem, or comparable experience in similar modern programming environments
Experience influencing technical or analytical direction across cross functional, multi team environments