Machine Learning Scientist, Data and Insights

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. 

About the Role

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) promotes subscription and retention through the development, deployment, testing, and analysis of machine learning (ML) models. We are a group of ML scientists, data analysts, and software engineers that partner with teams across the company. We use methodologies such as causal ML and bandit algorithms, and deploy them on the cloud for real-time inference.

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 report to the Lead Machine Learning Scientist for ALTA’s access and messaging ML models.

Responsibilities:

• You will reframe business objectives as ML tasks for delivering actionable insights, accurate predictions, and effective optimization

• You will adapt or develop ML algorithms to be performant, while also prioritizing quick effective solutions

• You will communicate complex ideas in machine learning while collaborating with technical and non-technical colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups

• You will deploy models behind production APIs, collaborate with engineering teams, and integrate into processes throughout The Times

• You will learn new technologies and ML methods, and adapt them into our workflows

 

Basic Qualifications:

• 3+ years experience (inclusive of academic research) 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+ year experience in SQL and manipulating large structured or unstructured datasets for analysis

 

Preferred Qualifications:

• 1+ years of experience building statistical and causal inference models

• Familiarity with experimental design and randomized control trials

• Familiarity with prescriptive machine learning and bandit algorithms

• 1+ year experience collaborating with multiple developers on a shared codebase

 

#LI-Hybrid

REQ-017694

The annual base pay range for this role is between:$116,000—$130,500 USD

The New York Times is committed to a diverse and inclusive workforce, one that reflects the varied global community we serve. Our journalism and the products we build in the service of that journalism greatly benefit from a range of perspectives, which can only come from diversity of all types, across our ranks, at all levels of the organization. Achieving true diversity and inclusion is the right thing to do. It is also the smart thing for our business. So we strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply.

The New York Times Company is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. 

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