Service
core_signal_retrieveRequest URL
https://api.coresignal.com/cdapi/v1/linkedin/job/collect/252881637Owner
8Request
Request Headers
Response Body
{"id"=>252881637, "created"=>"2024-06-25 11:12:25", "last_updated"=>"2024-06-27 13:55:28", "time_posted"=>"2 days ago", "title"=>"Data Engineer, Algorithmic Targeting", "description"=>"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.\n\nAbout The Role\n\nWe are looking for a Software Engineer to join our Algorithmic Targeting (ALTA) team to solve creative challenges by building infrastructure and integrations to deploy and test machine learning models that help grow our subscriber base and lifetime value.\n\nAt The New York Times , our machine learning services support our mission to help people understand the world and our business goal of acquiring and retaining subscribers. We accomplish this by algorithmically targeting our readers at specific moments in their subscription lifecycle, driving lifetime value (LTV) and subscriber base growth . By joining our team, you’ll help the numerous voices in The New York Times News, Games, Cooking, Wirecutter, and The Athletic newsrooms reach everyone through our growing subscription business.\n\nThis is a hybrid role based in our New York City headquarters, reporting to the Senior Engineering Manager, Access and Messaging Systems. You can typically expect to come into the office 2 days per week.\n\nResponsibilities\n\n• Build infrastructure for machine learning modeling, partnering with data scientists\n• Collaborate with data scientists to deploy realtime and batch machine learning models, driving millions of onsite interactions\n• Contribute to the Times’ Machine Learning Platform to help build efficient real-time algorithms\n• Build ETL data pipelines, partnering with data analysts\n• 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\n\n\nBasic Qualifications\n\n• 2+ years of experience writing production-quality Python\n• 1+ years of experience building and orchestrating ETL pipelines (e.g. Apache Airflow, DBT Cloud, BigQuery)\n• 1+ years of experience with SQL\n• 1+ years of experience with building, transforming and modeling reusable datasets for Machine Learning and analytics use cases\n• Experience with cloud computing platforms (e.g. GCP, AWS)\n• Familiarity with Git, and CI/CD systems such as Drone or Jenkins\n• Experience communicating to non-technical stakeholders\n\n\nPreferred Qualifications\n\n• 1+ years of experience building distributed and scalable platforms for machine learning\n• 1+ years of experience deploying containerized applications with Docker and Kubernetes\n• Experience building unit and integration tests\n• Experience programming in Go\n• Experience with infrastructure as code (e.g. Terraform)\n• Familiarity with ML packages/tools such as scikit-learn, TensorFlow, PyTorch, and/or MLflow\n\n\nThis role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables\n\nThe annual base pay range for this role is between:\n\n$104,000 — $130,000 USD\n\nThe 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.\n\nThe 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.\n\nThe Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable \"Fair Chance\" laws.\n\nThe New York Times Company follows the pay transparency and non-discrimination provisions outlined by the United States Office of Federal Contract Compliance Programs. Click here for details.\n\nFor information about The New York Times' privacy practices for job applicants click here .\n\nPlease beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site . The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.\n\nIf you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at [email protected] . You can also file a report with the Federal Trade Commission or your state attorney general .", "seniority"=>"Entry level", "employment_type"=>"Full-time", "location"=>"New York, NY", "url"=>"https://www.linkedin.com/jobs/view/data-engineer-algorithmic-targeting-at-the-new-york-times-3958420266", "hash"=>"d37fe2df6aee7c32fdec213ba027fcbc", "company_id"=>2754439, "company_name"=>"The New York Times", "company_url"=>"https://www.linkedin.com/company/the-new-york-times", "external_url"=>"https://boards.greenhouse.io/thenewyorktimes/jobs/4435917005", "deleted"=>0, "application_active"=>1, "salary"=>nil, "applicants_count"=>"Be among the first 25 applicants", "linkedin_job_id"=>3958420266, "country"=>"United States", "redirected_url"=>"https://www.linkedin.com/jobs/view/data-engineer-algorithmic-targeting-at-the-new-york-times-3958420266", "job_industry_collection"=>[{"job_industry_list"=>{"industry"=>"Newspaper Publishing"}}]}Response code
200