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 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 large-scale 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 scientists, business intelligence, finance, and content teams for any ad-hoc forecasting needs.
• Validate models through backtesting 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.
• 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 (e.g., causal methods, tree-based algorithms, time series analysis, regression analysis).
• Ability to communicate concisely and persuasively with engineers and product managers.
• Strong detail orientation with a penchant for data accuracy.
• Familiarity with version control systems (e.g., Git, Bitbucket).
• Must successfully pass a background check.

You might also have

• Experience using Google Cloud Platform, Big Query, ML Engine, and APIs.
• Experience using project management tools like those from Atlassian (JIRA, Confluence).
• Ability to wrangle data using SQL and Pandas.
• Background in NLP or text mining techniques is a plus.
• Background in deep learning and TensorFlow is a plus.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Consulting

Industries

• IT Services and IT Consulting