Data Scientist | HYBRID

Location: Los Angeles, California, US
Recruiter: Kaav Inc.
Date posted: Friday, November 14, 2025

 

Job Description:
Work Location: HYBRID - Los Angeles, CA

Description:

• 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

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
• Work closely with other data scientists business intelligence finance and content teams for any adhoc forecasting needs
• Validate models through backtesting and evaluation of observed data
• Deliver data insights at the appropriate level of detail and perform fast followup to feedback

Required:

• 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 treebased algorithms time series analysis regression analysis
• Communicate concisely and persuasively with engineers and product managers
• Strong detail orientation with a penchant for data accuracy
• Familiar with version control systems Git BitBucket
• Must successfully pass a background check

Preferred:

• 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 Tensorflow is a plus

Mandatory Skills : Data Science and ML Engineering, Python, Jupyter Notebooks.

Required Skills : SQL

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No

 

Apply for this job on Kaav Inc.