Data Scientist HYBRID
Data Scientist HYBRID
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Not Disclosed
Salary Not Disclosed
1 Vacancy
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
Employment Type
Full Time
