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Data Scientist | HYBRID

Kaav Inc.

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
Vacancy posted 14 days ago
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