Senior Data Scientist

6 days ago

Canada Playwire Full time
About the Role

Playwire Media is a leading digital innovation partner specializing in online advertising and proprietary technologies to elevate publishing brands. As we continue to experience rapid growth, we are seeking a Senior Data Scientist to join our team and contribute to the development and scaling of our next-generation website monetization platform.

Key Responsibilities
  • Design and develop predictive models and inferential decision assets that drive our real-time platform, leveraging large datasets and complex algorithms.
  • Collaborate with Data and Engineering teams to provide SME guidance on ML software engineering principles, model deployments, and platform capabilities.
  • Process and analyze massive datasets, performing A/B testing tasks on statistical models, ML algorithms, and deployed systems.
  • Develop and execute multivariate experiments, rationalize KPIs, establish measurement protocols, and arbitrate over statistical and business significance.
  • Build and deploy capabilities for automating model scoring/inferencing of ML models.
  • Communicate complex analytic findings and insights effectively to stakeholders at all levels.
  • Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization, reducing modeling and operational load.
  • Drive AI use case delivery end-to-end, collaborating across teams to build and use standardized platform processes and capabilities.
  • Develop and implement advanced ML models, such as gradient boosted decision trees, graph neural networks, deep, and reinforcement learning models, to solve critical business problems.
Requirements
  • 5+ years of experience in developing machine learning models and conducting statistical analysis.
  • 2+ years of experience and proficiency with ML frameworks such as scikit-learn, SparkML, TensorFlow, PyTorch, pandas, etc.
  • 2+ years of experience with forecasting models such as Prophet, ARIMA, and mSSa.
  • Strong foundation in Machine Learning, Deep Learning, and NLP, with a proven track record of developing and deploying ML models at scale.
  • Strong background in data processing and ability to demonstrate strong data intuition and end-to-end ownership of our systems - from data collection, feature selection, and processing to running ML systems in production.
  • Ability to draw insights and conclusions from data to inform model development and business decisions.
Nice to Have
  • MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics, or related quantitative field (e.g. Econometrics, Mathematics).
  • Ad-Tech experience.
  • Experience with DevOps practices, CI/CD, IaC.
  • Experience with AWS infrastructure.
  • Experience with Snowflake database technology.
  • Professional experience as a software engineer.

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