À propos
Apr 10, 2026
Location: New York, NY, US, 10281
Company: Associated Press
The Associated Press is an independent global news organization dedicated to factual reporting. Founded in 1846, AP today remains the most trusted source of fast, accurate, unbiasednews in all formats and the essential provider of the technology and services vital to the news business. More than half the world's population sees AP journalism every day. The Associated Press' Metadata and Data Science Team seeks a Data Scientist based in New York, NY. Why this role matters: The Data Scientist will designand implementdata scienceand applied machine learningsolutionssupportingnew product development,search and discoveryon platform, contentenrichmentand metadata generation.As a member of cross-functional project teams, theDataScientist will perform data analysis, evaluate commercial and open-source models, anddeliversolutionswith real-world impact. The team works closely with various departments and functions across the organization to design, implement and manage end-to-endcontentmetadata, tomaintainthe integrity of schema standards, and to build solutions with data,analyticsand machine learning methods. What you will do: Evaluate, fine-tune, andmaintainstatistical and machine learning modelsusedinrun-timeproduction environments, measuring and communicating performance improvements to stakeholders
Partnerwith cross-functional teams to design andoptimizeAI/ML solutions that delivernew product capabilities and internal workflow improvements, using news articles, photos, videos, election results, and other news data
Research, evaluate, and recommend models and methodologies across the AI/MLlandscape, presentingrecommended solutionsto technical and non-technical stakeholders
Identifyand address gaps inmodelquality and performance metrics, synthesizing findings into clear, actionable recommendations
Contribute to the design and enhancement of data and ML pipelines,including multimodal embedding generationand knowledge extraction,with a focus on accuracy, efficiency, and scalability
Design user-centered solutions and search algorithms focused on quality and performance
Stay current with emerging technologies and advances in NLP, machine learning, and data science, proactively surfacing opportunities for improvement
Support the full model development lifecycle, from problem definition and prototyping throughintegration,deployment, monitoring, and iteration
Communicate analysis and present findings clearly, adapting to a range of technical and business audiences
Who you are: 3+ years of relevant data science experience, with strongproficiencyin Python including NumPy, Pandas, and large-scale semi-structured JSON data
Bachelor's degree in Data Science or Computer Science
Experienced applying core machine learning methods including classification, clustering, regression, and ranking
Hands-on experience with NLP techniques such as entity recognition, disambiguation, semantic similarity, and embedding-based retrieval
Experience with transformer models for structured extraction, classification, summarization, and generation
Experience with hybrid search algorithms, retrieval pipelines,intent detection,queryexpansion,andrelevance tuning in Elasticsearch or OpenSearch
Experience working with both language and multimodal models
Experienceand comfortworking withreal-worlddata, includingtext and visuals, at scale
Familiar with ML engineering and MLOps practices, witha track recordof delivering runtime solutions
Familiarity with cohort analysis, session segmentation, A/B testing, and confidence calibration
Analytical and curious, with strong problem-solving skills and a practical focus on high-impact, cost-aware solutions
Able toeffectivelymanagemultipleprojectdeliverablessimultaneously
Comfortablebeingaccountable for deliverables across the full product development lifecycle,from problem definition through launch and iteration
An effective communicator who can tailor analysis and presentations to both technical and non-technical audiences
Collaborative and empathetic, with a genuine focus on user impact and a desire to grow data literacy across the organization
Advanced-level professional competency in written and spoken English
Authorization to work in the United States for any employer
What will set you apart: Experience in news media or working with news as datastrongly preferred
Master's degree in Data Scienceor a related field
Familiarity with graph data models and designing entity-relationship schemas
Eagerness to learn the technical nuances of large-scale media operations andidentifyopportunities within evolving systems
Location: This role is based in New York City with a hybrid work schedule. AP employees are onsite three days a week, Tuesday, Wednesday and Thursday. Local candidates are preferred, but all qualified applicants are encouraged to apply. Why join us: A mission-driven, inclusive environment focused on both individual and collective success.
Opportunities for professional development to help you reach your career goals.
Access to tools, mentorship, and resources tailored to elevate yourproficiencyand contributions.
Salary & Benefits: The anticipated salary range for this position is
$116,000 - $130,000 , based on a candidate's skills, qualifications, and location. The Associated Press offers comprehensive benefits, which include: Competitive medical, dental and vision coverage
Retirement benefits
Company paid life insurance
Paid vacation and sick days
Paid parental leave for any new parent
Mental well-being resources
AP seeks to build an inclusive organization grounded in respect for differences. We support all aspects of diversity and provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, marital status, national origin, age, sexual orientation, gender identity, disability, status as a veteran, or other characteristic protected by law.
Nearest Major Market:
New York City
Job Segment: Database, Open Source, Computer Science, Data Analyst, Product Development, Technology, Data, Research
Compétences linguistiques
- English
Avis aux utilisateurs
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