The mission (https://www.nytco.com/company/mission-and-values/) 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. 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. This position will be hybrid, requiring some time in our New York office.
Responsibilities:
Reframe business and newsroom goals as machine learning tasks that deliver relevant insights, accurate predictions, and optimization
Communicate results and impact to business and newsroom partners
Turn models into data products, collaborate with engineering teams, and integrate into processes throughout The Times
Collaborate with end-users of data products and respond to partner needs
Basic Qualifications:
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
PhD, MS, or 3+ years experience in statistics, computational social science, applied mathematics, or another quantitative/computational discipline
You have experience with end-to-end deployment of data products that are integrated into company process
Preferred Qualifications:
1+ years of experience applying machine learning to advertising campaigns
1+ years of experience building data products, either internal or consumer-facing
Experience with Google Cloud Platform ecosystem
Experience in A/B testing and experimental design
Experience in Natural Language Processing
If you see a job opening here that might be a good fit for you, we encourage you to apply. We offer a comprehensive and competitive benefits package that includes medical, dental and vision plans for employees and their families, health and wellness programs, a 401(k) plan, tuition reimbursement, paid vacation, paid parental leave and much more.
REQ-015638
#LI-Hybrid
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 [email protected]. 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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