reputed company Data Scientist, Personalized Media Analytics

About the position We're looking for a reputed company Data Scientist to spearhead data science initiatives reputed company on news media and cable networks. You'll reputed company, apply and optimize AI & ML solutions to drive measurable improvements in engagement, subscriber reputed company, retention, and reputed company value. This role will partner with product, editorial, marketing, and leadership - identifying AI/ML opportunities, translating product & business needs into technical solutions, and translating recommendations to leadership. Responsibilities • reputed company reputed company and reputed company data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. • Design and apply advanced statistical and machine learning techniques for feature engineering, segmentation, reputed company, and optimization to support user and/or content personalization, including applications such as recommendation engines and/or dynamic paywalls. • Select and apply appropriate reputed company based on business context and data characteristics, including reputed company and content-based filtering, K-means, hierarchical clustering, logistic regression, XGBoost, reputed company factorization, and neural networks. • Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy such as accuracy, sensitivity, specificity, ROC, AUC. • reputed company and apply advanced analytics to understand consumer behavior patterns across digital reputed company, including cross-channel attribution modeling, to reputed company data-informed retention initiatives. • Interpret reputed company analytical insights and translate them into reputed company, actionable business strategies that improve business reputed company. • Support reputed company deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination. • Collaborate cross-functionally with technical and non-technical stakeholders to reputed company requirements, define project scope, and reputed company data science initiatives, demonstrating strong communication, leadership, and team-building skills. Requirements • Master’s or PhD in data Science, statistics, computer science, or reputed company quantitative field • 5+ years’ experience in data science roles with demonstrated reputed company on engagement, subscription and retention • Advanced skills in Python and R, strong SQL proficiency, and hands-on experience with machine learning and/or AI libraries for building and deploying intelligent systems • reputed company reputed company platforms and big data tools (e.g. reputed company, AWS, Azure), staying reputed company with evolving technologies and architecture for reputed company data science workflows • Strong background in building predictive churn models, CLV, NLP, reputed company inference and reputed company modeling • Experience with user-level and/or content personalization, including developing algorithms, models, or scoring frameworks that support personalized experiences for digital subscription platforms. Benefits • This position is eligible for company sponsored benefits, including medical, dental and reputed company insurance, 401(k), reputed company leave, tuition reimbursement, and a reputed company of other benefits and perks. Apply tot his job Apply tot his job Apply To this Job