Data Scientist

Summary

Join The New York Times as a Data Scientist and contribute to the production of high-quality journalism by leveraging machine learning methods to analyze vast amounts of data. You will work closely with various teams across the company to deliver insights, predictions, and optimize processes. This role requires a hybrid work model, with some time spent in the New York office.

Requirements

• 3+ years experience (inclusive of academia) in statistics, computational social science, applied mathematics, or another quantitative/computational discipline
• 2+ years experience with open source machine learning or statistical analysis tools
• 2+ years coding experience in Python
• 1+ years of experience in SQL, data engineering, data cleaning, and model selection techniques
• You have experience with end-to-end deployment of data products that are integrated into company process
• You will demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world

Responsibilities

• You will reframe business and newsroom goals as machine learning tasks that deliver relevant insights, accurate predictions, and optimization
• You will communicate results and effect to business and newsroom partners
• You will turn models into data products, collaborate with engineering teams, and integrate into processes throughout The Times
• You will collaborate with end-users of data products and respond to partner needs
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world

Preferred Qualifications

• Experience with Google Cloud Platform ecosystem
• Experience in A/B testing and experimental design
• Experience in Natural Language Processing