Senior Applied Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
The Demand Intelligence team at Microsoft Advertising is seeking a Senior Applied Scientist to lead the development of AI-powered intelligence systems. You will focus on transforming marketplace signals into actionable insights, recommendations, and forecasts using advanced machine learning, generative AI, and agentic technologies. This role involves driving innovation in predictive modeling and building intelligent products that move users towards automated decision-making.
Responsibilities
- Lead the AI and machine learning strategy for Demand Intelligence.
- Build solutions that transform complex marketplace and advertiser signals into actionable recommendations, insights, and decision support.
- Drive innovation in predictive intelligence, including forecasting, opportunity discovery, anomaly detection, and automated insight generation.
- Build and advance Generative AI and agentic experiences.
- Partner across engineering, product, and business teams to translate customer needs into scalable AI-powered products.
- Provide scientific leadership, mentor engineers and scientists, and champion best practices in experimentation, machine learning, and responsible AI.
- Establish rigorous evaluation frameworks to ensure recommendations and insights are accurate, trustworthy, and measurable.
- Identify emerging AI technologies and turn cutting-edge research into differentiated capabilities.
Requirements
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience; OR Master's Degree AND 3+ years related experience; OR Doctorate AND 1+ year(s) related experience; OR equivalent experience.
- 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems.
- Proven programming and data skills, including proficiency in Python and SQL.
- Experience working with large-scale structured and unstructured datasets.
- Proven analytical and problem-solving skills.
- Effective communication skills for presenting complex analysis and working collaboratively.
- Experience building machine learning systems that generate actionable recommendations or optimization guidance from large-scale business or marketplace signals.
- Expertise in predictive modeling, time-series forecasting, anomaly detection, or business diagnostics.
- Experience applying LLMs, retrieval-augmented generation (RAG), AI agents, or reasoning systems.
- Experience developing and deploying machine learning solutions on cloud-scale data platforms.
Desired Qualifications
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience; OR Doctorate AND 3+ years related experience; OR equivalent experience.
- Experience building and validating algorithms such as regressions, classifiers, or clustering models.
- Ability to work with messy data, identify trends or anomalies, and rigorously evaluate model performance.
- Experience with distributed data processing, model orchestration, experimentation, and production AI systems.
Benefits
- USD $119,800 - $234,700 per year (US base pay range; higher for SF Bay/NYC).
- Eligible for benefits and other compensation.
- Opportunity to work with cutting-edge AI technologies.
#AI#Machine Learning#Demand Intelligence#Microsoft Advertising#Forecasting#Recommendation Systems#Anomaly Detection#Generative AI#Agentic Systems#LLMs
Company
Microsoft
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Senior
Locations
United States
Qualification
Bachelor, Master, Doctoral
Applicants
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