Microsoft is building a large-scale Azure-based intelligence platform that transforms complex data into high-quality and rich actionable insights to Microsoft Advertising stakeholders, and is looking to solve the problem of delivering accurate, actionable intelligence at scale.
Requirements
- 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.
- Experience with Azure-based intelligence platforms
- Experience with machine learning models for recommendations, anomaly detection, and actionable insights
Responsibilities
- Lead the design and implementation of machine learning models for recommendations, anomaly detection, and actionable insights.
- Drive experimentation and validation of models.
- 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.
Other
- 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.
- Must be able to work from the office at least four days per week, if living within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location
