Hearst Newspapers · 1 day ago
Senior Applied Data Scientist
New York, NY, United States
Full-time
Hybrid
Mid, Senior Level
$133K/yr - $178K/yr
3+ years expHearst Magazines is a global media company with a portfolio of over 30 iconic brands. They are seeking a Senior Applied Data Scientist to enhance their analytics capabilities by developing predictive models and optimizing data processes to support strategic decision-making.
AdvertisingJournalismMarketingNewsSocial Media
Responsibilities
Develop and maintain analytical and semantic layers and data models that integrate, clean, and transform data from multiple sources into unified, analytics-ready datasets that enable fast querying for reporting and analysis
Contribute to the organization’s data maturity roadmap by evolving the BI foundation from descriptive toward predictive and prescriptive analytics
Partner with BI Engineering to leverage governed analytical and semantic layers in BigQuery
Collaborate with BI Engineers to operationalize model outputs as analytical tables or scheduled DBT/Airflow jobs
Develop and validate predictive and prescriptive models that translate business questions into actionable insights for strategic and operational decision-making
Build “what-if” simulations and optimization frameworks to evaluate business scenarios and guide planning
Conduct statistical analysis to assess the quality, consistency, and health of datasets, ensuring reliable inputs for modeling and decision support
Design and analyze controlled experiments to measure the impact of product, audience, or marketing initiatives
Present results and recommendations through clear visualizations, concise narratives, and executive-facing summaries
Qualification
Required
3–6 years of experience in applied data science, predictive analytics, or quantitative modeling
Proficiency in Python (Pandas, Scikit-Learn, Statsmodels, Prophet) and SQL (BigQuery preferred)
Hands-on experience with statistical, forecasting, and optimization techniques applied to real-world business challenges
Ability to perform data quality assessments and statistical diagnostics to monitor the health and stability of analytical datasets
Strong understanding of experimentation design, causal inference, and model evaluation methods
Familiarity with data orchestration and modeling tools such as DBT, Airflow, or similar
Comfortable working within a cloud data warehouse environment and collaborating closely with BI and Engineering teams
Excellent communication and data storytelling skills — able to translate complex models into clear business insights
Preferred
Experience in digital media, marketing analytics, or revenue optimization
Familiarity with Looker or other semantic-layer tools
Exposure to marketing, media, or commerce analytics, including traffic, audience, or revenue optimization use cases
Understanding of Bayesian statistics, time-series forecasting, or optimization methods for scenario simulation
Experience building forecast validation and monitoring frameworks to track model drift and accuracy over time
Working knowledge of data visualization and narrative storytelling best practices (e.g., Looker, Tableau, or custom Python visualizations)
Familiarity with GCP tools (BigQuery, Cloud Composer, Vertex AI Workbench, etc.) or equivalent AWS/Azure environments
Interest in generative AI and LLM applications that enhance business intelligence (e.g., automated insights, natural-language querying)
Benefits
Work with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries.
Grow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events.
Work-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities.
Foster Connection & Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered.
Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1.
Plan for Your Financial Future: Enjoy competitive financial perks, including a 401(k) plan with a generous company match.
Company
Hearst Newspapers
Hearst Newspapers is the division in charge of Hearst's newspapers, local digital marketing service businesses, and directories.
Founded in 1887New York, New York, USA
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Carson S.
HR Business Partner
Laura Wilson
Director Major Account Partnerships
Recent News
2025-11-20
2025-05-23
2025-04-13
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