Business and Marketing Data Scientist, Applied Machine Learning
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Experteer Overview In this role you will develop ML and predictive analytics solutions for Google Customer Solutions, helping SMBs grow by applying data-driven insights. You’ll collaborate with Engineering, Product, and Finance teams to deliver scalable models and tools that measure impact across the advertiser journey. You will build and evaluate ML models, integrate them into production systems, and enable data-driven decision making for sales and marketing. This role offers the chance to shape predictive capabilities at scale within Google’s ecosystem, with a clear focus on business growth and customer success. Compensation / Benefits * Build scalable ML models to help SMBs grow using Google solutions * Address real-world problems with deep learning, NLP, and statistical methods * Collaborate with product teams to understand objectives, requirements, constraints, and metrics * Propose, build, evaluate, and debug ML models and algorithms * Integrate pipelines, models, and predictions into production serving systems Tasks * Master in Computer Science * 3 years of experience with analytics, coding (Python, R, SQL), querying databases, or relevant PhD * PhD in Computer Science or Engineering preferred * Experience driving projects from experimental idea to launched feature * Cross-functional collaboration with engineering and product teams * Publications experience with technologies * Knowledge in data ontologies and graphs Key requirements * bonus target 15% * equity * benefits
Requirements
_ into production serving systems Tasks * Master in Computer Science * 3 years of experience with analytics, coding (Python, R, SQL), querying databases, or relevant PhD * PhD in Computer Science or Engineering preferred * Experience driving projects from experimental idea to launched feature * Cross-functional collaboration with engineering and product teams * Publications experience with technologies * Knowledge in data ontologies and graphs Key requirements * bonus target 15% * equity * benefits
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