Data Scientist II - (Grace Hopper)
The Walt Disney Company
This job is no longer accepting applications
See open jobs at The Walt Disney Company.See open jobs similar to "Data Scientist II - (Grace Hopper)" AnitaB.org.On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology
- **Building the future of Disney’s media business: **DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
- Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
- Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
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. If you are someone who loves to work cross-functionally, build models, perform statistical analysis, and create visualizations to provide scalable and iterative capabilities, then this is a fantastic role for you!
What You'll Do
- Modeling: Apply state of the art 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 create common understanding of how people 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 stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
Minimum Qualifications
- Bachelors degree in Data Science, Mathematics, Statistics, Computer Science, or related field
- 3+ years 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 inform 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
- MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics or related quantitative field (e.g. Econometrics, Mathematics, Operations Research)
- Working knowledge 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
#DISNEYTECH
The hiring range for this position in Glendale and Santa Monica is $112,600 - $151,000 per year, and in Seattle, Washington and New York City is $118,000 - $158,200 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:
Product & Data Engineering
Job Posting Primary Business:
PDE - Engagement Experiences & Platforms
Primary Job Posting Category:
Data Science
Employment Type:
Full time
Primary City, State, Region, Postal Code:
Seattle, WA, USA
Alternate City, State, Region, Postal Code:
USA - CA - 1200 Grand Central Ave, USA - CA - 2450 Broadway, USA - NY - 1211 Avenue of the Americas
This job is no longer accepting applications
See open jobs at The Walt Disney Company.See open jobs similar to "Data Scientist II - (Grace Hopper)" AnitaB.org.