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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. Its why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. Its 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 its why our business strategy centers on making journalism so good that its worth paying for. About the Role The New York Times is a technology company committed to producing the worlds 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. We are looking for a Data Scientist to join the Data Science Group applying machine learning methods to meet this challenge, in close collaboration with working partners across the company. You will report to the Executive Director, Data Science. You will be hybrid, requiring some time in our New York office. 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. Basic Qualifications: 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. Preferred Qualifications: Experience with Google Cloud Platform ecosystem. Experience in A/B testing and experimental design. Experience in Natural Language Processing. 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. #J-18808-Ljbffr