Hearst Magazines · 12 hours 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. The Senior Applied Data Scientist role focuses on enhancing the company's analytics capabilities by developing predictive models and optimizing data processes to support strategic decision-making and revenue growth.
Media and EntertainmentPublishing
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
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 Magazines
Hearst Magazines is a Media Production house.
1001-5000 employees
H1B Sponsorship
Hearst Magazines has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
Funding
Current Stage
Late StageLeadership Team
Sherri Chambers
Chief Marketing Officer
Recent News
2025-09-23
2025-08-29
Company data provided by crunchbase