Paramount is looking to improve their machine learning products to optimize content and marketing investment decisions by leveraging user engagement data.
Requirements
2 years experience in Data Science and ML Engineering
Knowledge of both supervised and unsupervised machine learning techniques
Have full stack experience in data collection aggregation analysis visualization productionalization and monitoring of data science products
The ability to write robust code in Python and leverage associated machine learning packages
Experience using Jupyter Notebooks
Familiarity with a variety of statistical models and methods ie causal methods treebased algorithms time series analysis regression analysis
Familiar with version control systems Git BitBucket
Responsibilities
Design implement optimize and maintain machine learning models to predict content performance
Build and deploy endtoend ML pipelines that can handle largescale data efficiently
Continuously monitor model performance in production via automation and iterate to maintain relevance
Experiment with novel methods to improve forecasting accuracy and interpretability
Validate models through backtesting and evaluation of observed data
Deliver data insights at the appropriate level of detail and perform fast followup to feedback
Other
Work closely with other data scientists business intelligence finance and content teams for any adhoc forecasting needs
Communicate concisely and persuasively with engineers and product managers
Strong detail orientation with a penchant for data accuracy
Must successfully pass a background check
Background in NLP or text mining techniques is a plus
