Data Scientist supporting U.S. Indo - Pacific Command operations with data analysis and visualization. Collaborating across USINDOPACOM to enhance data strategies and algorithms.
About the role
- Exec Director leading Data Science for Disney's streaming services, developing predictive machine learning models. Collaborating across business units to drive analytics and data science initiatives.
Responsibilities
- Build and lead a team of Data Scientists that inform, influence, and support business priorities across projects and platforms using data to validate hypotheses and provide effectiveness/efficiency solutions.
- Manage the execution of the project roadmap, ensuring project delivery is in-line with business objectives and key results.
- Approach model and project development from a client-focused process including needs assessment, requirements gathering, prototyping, UAT and partner engagement.
- Proactively identify opportunities that can benefit from data science modeling and AI applications and manage the execution and implementation for impact.
- Work effectively across multiple business units with numerous stakeholders to deliver advanced analytics and modeling solutions.
- Foster a culture of collaboration by developing cross functional partnerships with business units to ensure impactful, positive business outcomes are prioritized.
- Function as an expert and collaborate with the team to assess how models and methods can be adjusted for better predictive power and accuracy.
- Lead the development of our predictive algorithms and machine learning applications across different areas with the aim of helping our stakeholders execute better, smarter and faster.
- Design and implement scalable frameworks for Next Best Action/Offer (NBA/NBO) decisioning, connecting propensity scores to optimal customer interventions.
- Continuously improve existing and architect and prototype new models, working with data science and cross-functional engineering teams to operationalize models into production.
Requirements
- Bachelor’s degree in advanced mathematics, Statistics, Data Science or comparable field of study
- 12+ years of related professional experience
- Demonstrated financial impact via data science applications.
- Deep knowledge of machine learning algorithms and advanced statistics, specifically time series forecasting, probabilistic models, and decisioning/optimization algorithms.
- Experience with statistical / ML platforms and modern data ecosystems (e.g., Python, R, Databricks, Spark, PyTorch).
- Experience with forecasting business metrics, leading indicators and feature importance.
- Experience making complex and broad predictions based on a vast amount of past and/or present data through the development of statistical and/or machine learning models.
- Strong analytical and problem-solving skills to interpret data and draw conclusions.
- Outstanding business acumen, collaborative approach and client orientation in addition to strong technical skills.
- Strong ability to simplify complex analytics into understandable stories and clear recommendations that are easily understood and executable.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- full range of medical, financial, and/or other benefits
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