Responsibilities
- Design, develop, and implement machine learning models to predict competitive bidding landscape, conversion rate, ad relevance to users etc.
- Analyze data to identify useful relations, patterns and features that are predictive of user behaviors, preferences, intents, interests
- Continuously identify and explore new and unconventional data sources
- Generate hypothesis and design effective online experiments to continuously iterate and improve on algorithm performance
- Take on unique modeling challenges of data sparsity, delayed feedback, as well as modeling in the context of privacy restrictions
- Work with engineering and operations teams to build machine learning models, monitor and evaluate their health and effectiveness in production
- Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences
Basic qualifications
- Three or more years of experience; Masters or PhD in Computer Science, Economics, Statistics, Math, Data Science, Engineering, or related field
- Be an expert in at least one scientific programming language (Python is strongly preferred)
- Be an expert in probability distributions, statistical modeling and machine learning
- Be proficient with structured query language (SQL)
- Be proficient with Bayesian statistics and modeling
Preferred qualifications
- Be familiar with at least one deep learning framework (e.g. PyTorch, TensorFlow)
- Have experience deploying effective ML models to production
- Have experience with auction dynamics and bidding strategies
- Have experience maintaining high quality production code
- Have experience connecting to data sources and prototyping data pipelines
- Adtech experience is a plus
Tags & focus areas
Used for matching and alerts on DevFound Remote Machine Learning Ai