Hearst Magazines

About the Company

Hearst Magazines, the world's largest lifestyle media publisher, has a portfolio of more than 30 powerful brands in the U.S. that inspire and entertain audiences across all media platforms. Hearst Magazines' print and digital assets reach 141 million readers and site visitors each month -- 55% of all adults in the U.S., 53% of all Millennials and 50% of all Gen Z adults over the age of 18 (Source: 2024 Comscore Multi-Platform(c) MRI-Simmons - 09/24/S24). The company publishes more than 200 magazine editions and 175 websites around the world. Hearst Magazines International, a unit of Hearst Magazines, encompasses eight owned and operated businesses, nine joint ventures and 40 license partners across 47 countries. Together, we are welcomed into the lives of millions around the world with our portfolio of nearly 200 editions.

Listed Jobs

Company Name

Hearst Magazines

Job Title

Data Scientist, Data & AI Team

Job Description

Job title: Data Scientist, Data & AI Team Role Summary: Full-cycle data scientist leveraging machine learning and analytics to drive audience engagement, content strategy optimization, and advertising revenue through data-driven insights. Expectations: Hands-on role requiring independent project ownership, collaboration across technical/business teams, and continuous model refinement to address complex media industry challenges. Key Responsibilities: - Own and execute end-to-end data science projects from data collection to production deployment - Develop machine learning models for content recommendations, audience segmentation, user churn prediction, and ad optimization - Conduct in-depth data analysis to extract actionable insights for editorial, product, and commercial strategies - Partner with data engineers to build scalable data pipelines and align solutions with operational needs - Present findings to technical and non-technical stakeholders through clear reports and presentations - Identify and implement improvements to existing models and analytical workflows Required Skills: - Strong Python (Pandas, NumPy, Scikit-learn) and SQL proficiency - Expertise in ML algorithms (logistic regression, random forests, clustering, NLP) - Experience with frameworks like TensorFlow/PyTorch - Familiarity with big data tools (Spark, BigQuery) and cloud platforms (GCP, AWS) - Problem-solving in ambiguous environments with business impact prioritization - Effective communication of technical outputs to cross-functional teams Required Education & Certifications: - Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, or related quantitative field - 3+ years professional data science/machine learning experience

New york, United states

Hybrid

Junior

10-09-2025