Data Scientist, ML - Twitter Service Tech

Data Scientist, ML - Twitter Service Tech

This job is no longer open

The Position

The Twitter Service organization provides meaningful and effective support and services to the Twitter community. We are on our way to becoming recognized as the best embodiment of a service driven culture, placing customer needs at the center of operations as we actively listen and help. Our mission is to provide customer service so remarkable, it removes any barriers towards participating in the public conversation. 

Twitter Service Tech team is responsible for automation in the review process to improve operational efficiency. As a senior member of the data science team, you will lead the development of high-performing machine learning models to mimic agent actions, and make auto decisions, including actions and case closure. You will develop scalable, reliable features and data pipelines that are reused by multiple machine learning use cases to generate and manage high quality data sets. You will work with cross-functional teams including operations and engineering partners to drive solutions using data science.

The Position

  • Analyze massive review data and design metrics to evaluate effectiveness in all types of enforcement operations 

  • Understand complex systems top to bottom and thrive working across technologies and codebases

  • Build heuristic rules, statistical models, or machine learning models, to automate/simplify/aid content moderation review process

  • Write data pipelines using SQL(e.g. bigquery, presto) and scripting languages (e.g., Scala Python, R)

  • Collaborate with cross functional teams to maximize the impact of model outputs. For example, you will work with operational SMEs to find the best signals to be used in the model, and discuss with the engineering team on implementation of the pipeline

Qualifications

  • Advanced degree in quantitative analysis, with 3+ years (or 5+ years) industry experience in data science or adjacent roles

  • Strong track record of forming effective cross-functional teams

  • Expertise solving complex and high impact quantitative business problems with scripting languages and data from modern warehousing systems

  • Experience with building machine learning algorithms to solve business problems 

  • Comfortable conducting design, code and analysis reviews.

  • [Bonus] Experience with PySpark or BigQuery

  • [Bonus] PhD degree in STEM or similar fields

Company Description

The Twitter Service organization provides meaningful and effective support and services to the Twitter community. We are on our way to becoming recognized as the best embodiment of a service driven culture, placing customer needs at the center of operations as we actively listen and help. Our mission is to provide customer service so remarkable, it removes any barriers towards participating in the public conversation.

This job is no longer open
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