Disney

Lead Data Scientist

Remote Santa Monica, CA
USD 149k - 200k
Streaming Machine Learning Python TensorFlow SQL Spark
Description

Job Posting Title:

Lead Data Scientist

Req ID:

10097617

Job Description:

About Direct To Consumer (DTC)

Disney’s Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.  

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. 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. 

What To Bring

  • Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience 

  • 7+ 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) 

Nice To Haves

  • 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 

Additional Information

#DISNEYTECH

 

The hiring range for this position in the Los Angeles, CA area is $149,300-$200,200. 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 - 1100 Flower St

Date Posted:

2024-08-20
Disney
Disney
Digital Media E-Commerce Media and Entertainment Multi-level Marketing Performing Arts Digital Media E-Commerce Media and Entertainment Multi-level Marketing Performing Arts Employment Media and Entertainment Personal Development

0 applies

2 views

Other Jobs from Disney

Senior Software Engineer

Remote New York, NY

Front-End React Engineer

Remote San Francisco, CA

Software Engineer II

Remote Seattle, WA

Software Engineer II

Remote New York, NY

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

60,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 401 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

To try it out

For active job seekers

For those who are passive looking

Cancel anytime

Frequently Asked Questions

  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
  • We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
  • We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
  • We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
  • Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
  • Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
  • Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅

What Fellow Engineers Say