Senior Applied Scientist Job at Microsoft Corporation (Redmond)

Senior Applied Scientist

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

119800.00 - 234700.00 USD / Year

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Job Description:

We are building large-scale, Azure-based intelligence platform that transforms complex data into high-quality and rich actionable insights to Microsoft Advertising stakeholders. The system integrates advanced machine learning models with emerging agentic capabilities powered by large language models (LLMs) to model recommendations, automate analysis, generate contextual summaries, and streamline workflows across organizational tools. As a Senior Applied Scientist, you will lead the development of these Machine Learning solutions leveraging SOTA technologies in GenAI to build predictive models for generating recommendations, detecting anomalies, generating automated insights with reasoning and ensuring the platform delivers accurate, actionable intelligence at scale.

Job Responsibility:

Lead the design and implementation of machine learning models for recommendations, anomaly detection, and actionable insights
Drive experimentation and validation of models. Mentor junior scientists and contribute to model governance and Responsible AI practices
Partner with engineering and BI teams to operationalize insights into dashboards and alerting systems
Advance feature adoption scoring and health check analytics through data-driven approaches
Engineer optimal prompts for various LLM calls, using chain-of-thought and other advanced techniques
Fine-tune SLMs to efficiently scale the solution to millions of advertisers
Generate account planning guidance, tailored talking points, pitch assets, follow ups using agentic orchestration

Requirements:

Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models
Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL)
Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows
Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights
LLMs & Domain Adaptation: Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas (healthcare, agriculture, social sciences) while ensuring privacy and Responsible AI compliance

Nice to have:

Master'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 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

Additional Information:

Job Posted:
February 04, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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