Senior Data Scientist, Marketing Analytics

Job Description

Disney Streaming Services (DSS) is seeking a Data Scientist to oversee the design, build and testing of formulas for complex metrics/KPIs such as lifetime value, retention and subscriber forecasting. The role will research, design, implement and validate algorithms to analyze diverse sources of data to achieve targeted outcomes. You will provide expertise on mathematical concepts and machine learning for the broader analytics team and inspire the adoption of advanced analytics and data science.

Responsibilities:
• Development of prototype solutions, mathematical models, algorithms, machine learning models and robust analytics to support insights and visualization of complex data sets
• Contribute to product features like offers, personalization and recommendation by analyzing complex data sets and developing algorithms to produce results that increase customer engagement
• Provide optimization recommendations that drive KPIs established by product, marketing, operations, business teams and others
• Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our decision-making processes
• Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability and accuracy of insights

Basic Qualifications:
• Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research or a related field
• 4+ years of professional data science/analytical experience
• 4+ years of professional experience using data-building and statistical programming languages: SAS, Python, R, SQL
• Practical experience and expertise in applied statistics and data science methodologies (general advanced data modeling and predictive analytics e.g., multivariate regression analysis, machine learning, forecasting, Bayesian estimation)
• Experience with data exploration utilizing data visualization tools (e.g. Tableau, PowerBI, Pandas, ggplot2, Plotly)
• Experience with distributed databases and query languages like Spark and Scala
• Relational, no-SQL and/or columnar data experience
• Ability to think strategically, including interpreting market and consumer information
• Ability to simplify highly complex analyses into terms that are easily accessible and impactful for both written and verbal formats
• Demonstrated ability to present data science results and actionable recommendations to business and technical clients
• Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition

Preferred Qualifications:
• PhD or MS degree in Statistics, Mathematics, Operations Research, CS, Econometrics or related field
• Experience in ecommerce, consumer products, retail, publishing, or digital products strongly preferred
• Experience in customer analytics, including lifetime value analysis, customer propensity, acquisition & retention, forecasting, and customer segmentation strongly preferred
• Knowledge and professional application of machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.) and modern deep learning techniques (PyTorch, Keras/Tensorflow) is a plus

Jobcode: Reference SBJ-r02n91-18-221-222-47-42 in your application.