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# Senior Data Scientist, Data & AI Team

- **Company:** Hearst Communications Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $149,000.0 - $181,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, BigQuery, Cloud Computing, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, SQL Databases, Pytorch, Apache Spark, Scikit Learn, Information Technology, Dynamic Data, Software Library
- **Published:** July 31, 2026
- **Apply:** https://www.disabledperson.com/jobs/73938142-senior-data-scientist-data-ai-team

## About the Role

Hearst Magazines is seeking a visionary and hands-on Senior Data Scientist to join our dynamic Data & AI team. In this pivotal role, you will be a key player in architecting and implementing the advanced data models that power personalized user experiences, drive our next-generation advertising products, and provide deep, actionable insights to our world-class editorial and commercial teams. You will tackle complex challenges at the intersection of machine learning, user behavior, and content strategy, with a direct impact on the trajectory of our iconic brands., Experience: 7+ years of experience in a data science role, with a proven track record ofdeveloping and deploying impactful machine learning models in a production environment.
*
Technical Expertise:

 + Expert proficiency in Python and SQL.
 + Deep understanding of machine learning algorithms (e.g., regression, classification, clustering, NLP) and statistical modeling.
 + Hands-on experience with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch.
 + Experience with big data technologies (e.g., Spark, BigQuery) and cloud platforms (GCP, AWS).
*
Strategic Mindset: Ability to translate complex business problems into well-defined data science projects and communicate technical concepts effectively to non-technical stakeholders.
*
Leadership: Demonstrated ability to lead projects, mentor junior team members, and collaborate effectively across cross-functional teams.
*
Education: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline is preferred.

 * This is a hybrid position based in New York City, with an in-office requirement of four days per week.

## Description

*
Lead and Innovate: Design, develop, and deploy sophisticated machine learning models to address core business challenges, including user segmentation, content recommendation, churn prediction, and lifetime value modeling.
*
Strategic Impact: Partner with product, engineering, editorial, and revenue teams to identify and execute on data science initiatives that drive measurable business outcomes.
*
Full-Cycle Development: Own the end-to-end data science workflow, from hypothesis generation and data exploration to model building, validation, and deployment into production environments.
*
Advanced Analytics: Conduct in-depth exploratory analysis of large, complex datasets to uncover hidden patterns, trends, and opportunities for innovation.
*
Mentorship: Provide guidance and mentorship to junior data scientists and analysts, fostering a culture of technical excellence and collaborative problem-solving.
*
Thought Leadership: Stay at the forefront of advancements in data science and machine learning, and champion the adoption of new technologies and methodologies within the organization.


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