Machine Learning Scientist, Marketing

The New York Times•New York, NY

18h

About The Position

The New York Times is a technology company committed to producing the world's most reliable and highest quality journalism. Our ability to do so relies on a talented team of expert technologists who help NYT learn from a tremendous abundance of data unique to this company. The Algorithmic Targeting team (ALTA) is expanding its focus to promote subscriber growth through prescriptive machine learning (ML) on paid and owned media surfaces. We use methodologies like causal ML, inverse gap weighting and hierarchical bayesian modeling and deploy them at scale. We are looking for a Machine Learning Scientist to join ALTA and contribute to all steps of the ML development and deployment cycle. You will lead the development of models that improve our marketing spend across external platforms and owned channels. You will report to our Director of Machine Learning.

Requirements

PhD, MS + 2 years experience, or 3+ years experience in statistics, computational social science, applied mathematics, economics, or another quantitative/computational discipline
2+ years experience with open source machine learning or statistical analysis tools
2+ years coding experience in Python
1+ year experience in SQL and manipulating large structured or unstructured datasets for analysis
1+ year experience collaborating with multiple developers on a shared codebase

Nice To Haves

1+ years of experience building statistical and causal inference models
Familiarity with digital marketing concepts like Cost Per Order (CPO), Lifetime Value (LTV), and the marketing funnel
Familiarity with experimental design and randomized control trials
Familiarity with prescriptive machine learning
Familiarity with modern methods for Marketing Mix Modeling (MMMs)

Responsibilities

Reframe business goals as ML tasks for delivering relevant insights, accurate predictions, and optimization
Implement and deploy machine learning research with robustness and reproducibility, with consideration of risks and trade-offs
Communicate complex ideas in machine learning while collaborating with colleagues in in engineering, analytics, product management, marketing, editorial, and executive leadership groups
Deploy models behind production APIs or batch processes, collaborate with engineering teams, and integrate into processes throughout The Times
Learn new technologies and ML methods, and adapt them into our workﬂows
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.