Data Scientist

Job DescriptionJob Description

Position: - Data Scientist

Location: - Los Angeles, CA (Hybrid)

Job description

Role Details

• We are looking for an enthusiastic data science contractor to improve our machine learning products to optimize content and marketing investment decisions You will support our existing suite of subscriber propensity and content forecasting models by leveraging datasets collected from tens of millions of users as they engage with content on Paramount These models will enable you to create user or content level insights and forecasts to guide P Finance and Marketing decisions An ideal candidate would be someone with a track record of building and deploying models excellent communication skills and interest in the streaming entertainment industry

Your Day-to-day

• Design implement optimize and maintain machine learning models to predict content performance
• Build and deploy end-to-end 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
• Work closely with other data scientist's business intelligence finance and content teams for any adhoc forecasting needs
• Validate models through back testing and evaluation of observed data
• Deliver data insights at the appropriate level of detail and perform fast follow-up to feedback

Qualifications You Have

• 2 years' experience in Data Science and ML Engineering
• MS or PhD in Statistics Data Science Computer Science or related disciplines with specialization in machine learning techniques
• 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 tree based algorithms time series analysis regression analysis
• Communicate concisely and persuasively with engineers and product managers
• Strong detail with a penchant for data accuracy
• Familiar with version control systems Git Bit Bucket
• Must successfully pass a background check

You might also have

• Experience using Google Cloud Platform BigQuery ML Engine and APIs
• Experience using project management tools like those from Atlassian JIRA Confluence
• Can wrangle data using SQL and Pandas
• Background in NLP or text mining techniques is a plus
• Background in deep learning and Tensor flow is a plus