Job Posting Title:

Senior Data Scientist

Req ID:

10060149

Job Description:

The Walt Disney Company Direct to Consumer’s (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content. We are the insights and modeling partners for the content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. As Data Scientists, we use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Are you someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities? If so, then this is a phenomenal role for you!

Responsibilities

This role is integral to maintaining and improving email personalization models and pipelines, in addition to modeling engagement and content affinity.

Modeling: Apply innovative machine learning and statistical analysis to develop models related to opportunity sizing, targeting, and optimization.

Deep analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and build common understanding of how users are interacting with the service and content.

Visualization of Insights: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful insights communicated clearly and visually.

Partnership: Partner closely with business collaborators to identify and unlock opportunities, and other data partners to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.

Basic Qualifications

Bachelors or Master’s degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)

5+ related experience with developing machine learning models and conducting statistical analysis

Deep understanding of machine learning concepts and statistical methods

Ability to draw insights and conclusions from data to advise model development and business decisions

Desire to collaborate with other data scientists, data analysts, and key business partners

Proficient in analyzing data and developing ML models using Python (with ML frameworks like tensorflow, scikit-learn, etc.)

Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.)

Understanding of SQL and distributed data technologies (Hive, Spark)

Preferred Qualifications

Master's or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research)

Solid understanding of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC

Experience fully integrating data science solutions into the business and operationalizing ML models

The hiring range for this position in Santa Monica, CA is $136,038 to $182,490 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Direct to Consumer

Job Posting Primary Business:

DTC Analytics and Data Science

Primary Job Posting Category:

Data Science

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

USA - CA - 1200 Grand Central Ave

Date Posted:

2023-08-29