The Walt Disney Company · 10 hours ago
Senior Data Scientist
The Walt Disney Company is committed to creating happiness for families and fans through captivating products. They are seeking a Senior Data Scientist to drive advanced analytics and data science initiatives for retail, focusing on machine learning models and data-driven solutions to enhance customer experience and support strategic business objectives.
Amusement Park and ArcadeAnimationConsumer GoodsDigital MediaE-CommerceMedia and EntertainmentMulti-level MarketingPerforming ArtsResorts
Responsibilities
Lead End-to-End Model Development: Design, develop, and deploy advanced statistical and machine learning models (e.g., regression, classification, clustering, time series forecasting) to solve complex retail problems including customer segmentation, promotion optimization, and demand forecasting
Drive Scalable Data Solutions: Architect and implement scalable data pipelines and model workflows using Python, SQL, and cloud platforms (e.g., Google Cloud Platform, Snowflake) to support continuous data integration and model retraining across large-scale retail datasets
Develop Visual Analytics Tools: Build dynamic dashboards and self-service analytics solutions using Tableau, Looker, or similar platforms to monitor key business metrics, track model performance, and deliver actionable insights to cross-functional partners
Partner with Business & Technical Stakeholders: Collaborate with product, merchandising, marketing, and technology teams to translate ambiguous business questions into structured analytics problems and deliver insights that drive strategic decisions and operational improvements
Mentor and Lead Data Science Best Practices: Guide data scientists and analysts by promoting code quality, model validation, reproducibility, and responsible AI practices including performance monitoring, bias mitigation, and stakeholder education
Qualification
Required
5+ years as a Data Scientist with subject matter expertise in retail, with experience in areas including customer segmentation, performance forecasting, and business optimization
Business Acumen: Ability to translate complex analytical insights into actionable strategies; proven track record of partnering with cross-functional teams such as Merchandising, Operations, Finance, and Marketing to drive revenue outcomes
Retail Expertise: Proven experience developing and optimizing retail strategies through advanced analytics, including customer segmentation, demand forecasting, promotional analysis, and performance measurement across both brick-and-mortar channels and ecommerce channels
Data Visualization & Dashboarding: Proficient in developing intuitive, impactful dashboards and visual analytics using tools (e.g., Tableau) to enable self-service insights, monitor key retail metrics, and support data-driven decision-making across stakeholders
Advanced Statistical Modeling: Deep knowledge of predictive modeling techniques such as regression, time series forecasting (e.g., ARIMA, Prophet), causal inference, and machine learning methods (e.g., XGBoost, LightGBM)
Experimental Design: Proficiency in designing and analyzing experiments, including A/B testing, geo-lift studies, and other causal frameworks to measure the impact of retail changes
Python Proficiency: Expert-level skills in Python, with demonstrated ability to build scalable, production-ready pricing and forecasting models using libraries such as pandas, scikit-learn, statsmodels, and PyMC
SQL Expertise: Expert-level skills in SQL for querying and manipulating large-scale retail and transactional datasets, with experience building automated data pipelines
Big Data & Cloud Proficiency: Hands-on experience working with large-scale data environments using platforms such as Google Cloud Platform (GCP), Snowflake, BigQuery, and Spark to ingest, process, and analyze complex retail datasets efficiently and at scale
Bachelor's degree in Mathematics, Economics, Data Science, Computer Science, Operations Research, or a related field of study, and/or equivalent work experience
Preferred
Master of Science or PhD
Benefits
Health and savings benefits
Educational opportunities
Special extras that only Disney can provide
Company
The Walt Disney Company
The Walt Disney Company started as a cartoon studio and evolves into sports coverage and television shows.
H1B Sponsorship
The Walt Disney Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (83)
2024 (63)
2023 (96)
2022 (130)
2021 (30)
2020 (40)
Funding
Current Stage
Public CompanyTotal Funding
$11BKey Investors
Citibank
2020-04-13Post Ipo Debt· $5B
2020-03-20Post Ipo Debt· $6B
1978-01-06IPO
Leadership Team
Recent News
2026-01-20
Company data provided by crunchbase