Apply📍 UK
🧭 Full-Time
🔍 Advertising Technology
- Hands-on experience building production-level ML and data products.
- Expert-level understanding of data science topics.
- At least two years experience as an applied scientist, data scientist, or ML engineer.
- An MS or PhD in computer science or a quantitative discipline, or equivalent experience.
- Experience writing and deploying Python code in production.
- Strong knowledge of cloud computing platforms like AWS, Azure, or Google Cloud.
- Ability to design and apply various machine learning models.
- Effective communication skills with applied scientists, data scientists, and engineers.
- Ability to analyze and interpret model results for performance improvements.
- Proficiency in SQL and data analysis.
- Design and maintain machine learning models to optimize campaign targeting.
- Model key performance advertising metrics like conversion rates and click-through rates.
- Automate estimation of campaign bids and budgets based on these metrics.
- Improve systems that optimize campaign performance and pacing.
- Implement machine learning pipelines on Google Cloud Platform.
- Write and ship production-level Python code.
- Write and execute complex SQL queries to extract and transform data.
- Collaborate with applied scientists, software engineers, and product managers.
- Document code and processes for future reference.
- Participate in the Agile development lifecycle.
DockerPythonSQLData AnalysisMachine LearningAlgorithmsData scienceTensorflow
Posted about 2 months ago
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