Note: The job is a remote job and is open to candidates in USA. USA TODAY Co., Inc. is a diversified media company that provides journalism, local content, digital experiences, and digital marketing solutions. The Senior Data Scientist will support the product organization through reporting, deep-dive analysis, product evaluations, KPI development, predictive modeling, and AI data initiatives, partnering with cross-functional stakeholders to influence product and investment decisions.
Responsibilities
- Partner with Product Managers, Engineers, and cross-functional stakeholders to answer strategic product questions through reporting, analysis, deep dives, and predictive or prescriptive modeling
- Forecast business outcomes and identify opportunities to improve product performance
- Define, maintain, and improve key product metrics, dashboards, and monitoring frameworks used to assess product performance and business impact
- Apply machine learning techniques to customer behavior, engagement, retention, churn, propensity scoring, segmentation, recommendation systems, and personalization initiatives
- Evaluate product launches, feature changes, and AI-enabled initiatives by measuring outcomes against success metrics and communicating clear recommendations
- Support experimentation and measurement design, including hypothesis development, test readouts, and post-launch evaluations where applicable
- Build scalable modeling, reporting, and self-service analytics assets that improve decision-making speed and consistency across the product organization
- Partner with data engineering and platform teams to improve data quality, instrumentation, metric definitions, and the reliability of reporting pipelines
- Translate complex findings into concise narratives, presentations, and recommendations for technical and non-technical stakeholders
- Support AI data initiatives by helping build, evaluate models, measure features, and build analytics frameworks that assess customer and business impact
Skills
- * Bachelor's degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, Engineering, or a related discipline
- * 5+ years of experience in data science, product analytics, decision science, or a closely related analytics role supporting product teams
- * Strong SQL skills and proficiency in Python for data analysis, statistical modeling, predictive modeling, and data exploration
- * Experience with PyTorch, scikit-learn, and other machine learning frameworks for building, evaluating, and deploying models. Familiarity with feature engineering, model selection, cross-validation, hyperparameter tuning, and performance evaluation
- * Experience developing dashboards and visualizations that support executive reporting and day-to-day product decisions
- * Strong understanding of product metrics, experimentation, hypothesis testing, and statistical analysis
- * Experience working with large, messy, and multi-source datasets to produce actionable recommendations
- * Excellent communication skills, with the ability to explain technical findings in plain language and influence stakeholders through data
- Advanced degree preferred
- Experience supporting AI or ML-related product initiatives, model evaluations, or measurement frameworks is preferred
- * Experience in media, ad tech, mar tech, digital subscriptions, marketplaces, or other product-led businesses. * Experience in cloud data environments and product instrumentation best practices. * Experience working in highly cross-functional environments where priorities shift quickly, and decision support is critical
Benefits
- Variable compensation may be applicable based on the role.
- Remote work arrangement
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