XMXiao Ma
@xiaoma
Senior Data Scientist with expertise in large-scale ad models.
United StatesWhat I'm looking for
I am a Senior Data Scientist with extensive experience in building large-scale ad recommendation and ranking models, particularly for Meta. My expertise lies in utilizing advanced transformer architectures, such as BERT and LLaMA, to optimize real-time ad ranking and enhance user engagement through personalized ad experiences.
Throughout my career, I have successfully implemented retrieval-augmented generation (RAG) pipelines and generative AI techniques to automate ad creative generation, significantly reducing production costs while improving campaign performance. My proficiency in MLOps, including tools like MLflow, Docker, and Kubernetes, has enabled me to deploy robust, production-ready solutions that drive advertiser ROI at a global scale.
In my previous role at The Clorox Company, I developed consumer lifetime value models and anomaly detection systems that monitored millions of reviews, delivering substantial savings and insights for marketing strategies. I am passionate about leveraging data analytics to uncover optimization opportunities and translate insights into actionable strategies.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
Meta
Sep 2021 - Present (3 years 11 months)
Built transformer-based ad ranking and recommendation models, leveraging BERT, LLaMA, and custom architectures to optimize real-time ad ranking and improve relevance. Implemented retrieval-augmented generation (RAG) for ad creative personalization, designing pipelines with internal retrieval systems and LLaMA-based generation to deliver contextually relevant ad copy.
Data Scientist
The Clorox Company
Jun 2017 - Aug 2021 (4 years 2 months)
Designed and deployed Consumer Lifetime Value models using Python/Scikit-learn to predict and monitor engagement of over 500 million consumers, delivering segmentation for targeted marketing. Developed AWS-based anomaly detection systems with Python and AWS Lambda to monitor millions of reviews across 2,000+ products, implementing time-series anomaly detection.
Education
Degrees, certifications, and relevant coursework
UBUniversity of California, Berkeley
Master's Degree, Data Science
Pursued advanced studies in data science, focusing on cutting-edge machine learning techniques and their applications. Gained expertise in areas such as deep learning, natural language processing, and large-scale data analysis.
UBUniversity of California, Berkeley
Bachelor's Degree, Statistics
Completed foundational coursework in statistics, developing a strong understanding of statistical modeling, data analysis, and quantitative methods. Applied statistical principles to various real-world problems.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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