Data Scientist
- Net 2Source Inc.
90 Days Ago
NA
NA
Los Angeles-CA
2-4 Years
Required Skills: GCP BigQuery ML Engine, APIs, Atlassian JIRA Confluence, NLP, Deep Learning, Tensorflow
Job Description
Job Title: DATA SCIENTIST - ML
Location: Los Angeles, CA (Hybrid)
Type: : Long Term Contract
Job 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 contentlevel 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 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.
Qualifications:
2 years experience in Data Science and ML Engineering
MS or PhD in StatisticsData ScienceComputer 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
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 Tensorflow is a plus
