Data Scientist, Data and Insights, Algorithmic Recommendations

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 Recommendations team (Algo Recs) aims to help users discover content across the Times' website, apps and emails by applying algorithms that make use of information about our readers' behavior and our editorial judgment. We are a group of data scientists and data analysts that partner with teams across The New York Times. We are looking for a Data Scientist to join the Data Science Group and apply machine learning methods to our targeted email strategy. You will report to the lead of the Algo Recs team, and collaborate with partners across the company.

 

Responsibilities:

• Develop algorithms and run experiments to improve targeted email campaigns (including audience creation, timing, and content selection)

• Reframe business and newsroom goals as machine learning tasks that deliver accurate predictions, relevant insights, and optimization

• Present and discuss project results, impact, and uncertainties with project sponsors

• Communicate complex ideas in data science while collaborating with technical and non-technical colleagues in in engineering, analytics, product management, marketing, editorial, and executive leadership groups

• Turn models into data products, collaborate with engineering teams, and integrate into processes throughout The Times

 

Basic Qualifications:

• 2+ years experience with open source machine learning or statistical analysis tools

• 2+ years coding experience, Python preferred

• 2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis

• 2+ years experience with A/B testing and experimental design

• PhD, MS + 2 years experience, or 3+ years work experience in data science, statistics, computational social science, applied mathematics, or another quantitative/computational discipline

 

Preferred Qualifications:

• 1+ years of experience applying machine learning to email campaigns (optimizing timing, content selection, or audience creation) and are familiar with recommendation systems, including content-based methods using natural language processing

• 1+ years of experience translating complex and sometimes ambiguous business questions into machine learning problems

• 1+ years of experience communicating complex ideas in data science to audiences with varying degrees of technical background

• 1+ years of experience building data products, either internal or consumer-facing

 

 

#LI-Hybrid 

REQ-015786

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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