**Senior Data Scientist – Omni Channel Examination and Information Science**
Are you a data-driven leader with a passion for driving business growth through cutting-edge predictive models and data-driven insights? Do you have a knack for leading cross-functional teams and collaborating with stakeholders to meet business objectives? If so, we invite you to join blithequark's Product Frameworks and Examination group as a Senior Data Scientist. **About blithequark** blithequark is a leading global entertainment and media company that creates and distributes some of the world's most beloved brands, including Disney. Our company is committed to innovation, creativity, and excellence in everything we do. We're looking for talented individuals who share our passion for making a difference and driving business success through data-driven insights. **Job Summary** As a Senior Data Scientist at blithequark, you will lead, design, and develop broad datasets to create high-level business insights through advanced predictive models across both brick-and-mortar and e-commerce platforms. You will be a thought leader to the Information Science group, providing expertise and guiding research projects, promoting cross-functional collaboration to meet internal client information needs. **Key Responsibilities** * Provide strategic vision and direction for the Information Science group, focused on Omni Channel examination across both brick-and-mortar and e-commerce platforms. * Lead cross-functional teams, collaborating with Examiners, Specialized Assistants, and Business Pioneers to develop an improvement guide based on business needs. * Interpret business requirements into exact product specifications to direct development. * Lead design meetings, adjusting techniques to business drivers, challenges, and long-term objectives. * Plan effective data pipelines to address business issues, utilizing specialized tools and retail frameworks. * Set and execute Information Science group best practices and lead code audits for colleagues. * Create compelling visuals, diagrams, and graphs that resonate with data, tailored to various audiences. * Utilize advanced analytical techniques (regression, AI, clustering) to drive significant insights. **Essential Qualifications** * 2+ years' experience creating Examination, Measurable, or AI models to extract insights and address business challenges, ideally in a retail setting. * Capability in web analysis and customer segmentation using data to drive informed decisions and improve online experiences. * Lead small teams in rapid and accurate data analysis, feature definition, and creative problem-solving for business challenges. * Ability in working on complex issues, creating data-driven stories for direction. * Cloud platform/tech capability. * Aptitude in AI or machine learning methods. * Ability in investigating and underlying driver analysis. * Successful in fast-paced, evolving conditions. **Preferred Qualifications** * Familiarity with different project management methodologies (waterfall, agile, scrum). * Proficient relational skills for effective team and individual communication. * Capability in various data technology areas: + Data pipelines and ETL tools (e.g., SQL, SSIS, Knime, Alteryx, Tableau Prep) + Database platforms including Snowflake and SQL Server + Preparing languages (e.g., Snowscript, JavaScript, VBA, Python) + Factual and Information Science languages (e.g., R, SAS, Python for Data Science) + Utilization of AI strategies * Experience with cutting-edge analytical systems (e.g., regression analysis, clustering, statistical induction, theory testing, p-values, causal inference, Random Forest, Bagging, Boosting, Time Series) **What We Offer** * Competitive salary and benefits package * Opportunity to work with a global entertainment and media company * Collaborative and dynamic work environment * Professional development and growth opportunities * Flexible work arrangements, including remote work options * Access to cutting-edge technology and tools * Recognition and rewards for outstanding performance **How to Apply** If you're a motivated and results-driven individual with a passion for data science and business growth, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you! Apply Now! Apply for this job