Sr. Marketing Data Scientist

3 Months ago • 5 Years + • Data Analysis • $138,900 PA - $186,200 PA

Job Summary

Job Description

The Sr. Marketing Data Scientist at The Walt Disney Studios will be a key member of the Marketing Science team, using advanced statistical and machine learning techniques to solve complex marketing problems. Responsibilities include developing and interpreting models for forecasting, causal measurement, and optimization; overseeing the maintenance and improvement of existing models; prototyping data pipelines; and consulting with stakeholders to leverage data for better marketing performance. The role requires expertise in Python, SQL, big data technologies (Spark), and strong communication and collaboration skills. The ideal candidate will possess a deep understanding of statistical modeling, machine learning, and optimization techniques, coupled with a desire to learn about media, marketing, and the entertainment industry.
Must have:
  • 5+ years of experience
  • Advanced Python & SQL
  • Statistical modeling expertise
  • Machine learning proficiency
  • Big data technologies (Spark)
  • Strong communication skills
Good to have:
  • Master's or Doctorate degree
  • Advanced proficiency in SQL
  • Tableau or data visualization tools
  • Martech and Adtech ecosystem familiarity
  • Cloud computing experience
Perks:
  • Bonus
  • Long-term incentives
  • Full benefits package

Job Details

Job Summary:

Marketing Science is an applied science team within The Walt Disney Studios Marketing organization.  The team is interdisciplinary and cross-functional.  Members of the team draw on knowledge and expertise from a wide range of academic disciplines, but primarily in areas related to applied mathematics and the social sciences, in order to advance data-driven marketing at The Walt Disney Studios.  Depending on their backgrounds and interests, they may engage in market research, experimentation, forecasting, causal measurement, optimization, or data-related automation and data science product development.  Marketing Science is a part of The Walt Disney Studios Performance Marketing and is closely integrated with Performance Marketing operations.  Members of the Marketing Science team generally learn about the advertising and marketing technologies that connect these operations in order to find opportunities to improve marketing effectiveness.

Job Responsibilities: 

A person in this role is an individual contributor who has already developed some expertise through meaningful experience in their functional areas so as to be able to carry efforts in those areas within at least one major project with less supervision.  A person in this role is expected to be developing knowledge in media, marketing, and entertainment.

  • Using knowledge of statistics, machine learning, and AI to solve technical and research problems, including problems related to experimental and research design
  • Developing and interpreting the results of new formal models to forecast or predict business outcomes
  • Developing and interpreting the results of new formal models (e.g. marketing mix models, attribution models, etc.) to measure causal effects of marketing efforts or paid media
  • Overseeing the maintenance and improvement of existing statistical and machine learning models
  • Prototyping data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence
  • Applying understanding of concepts and principles of optimization to evaluate and improve media and marketing performance
  • Formulating and solving formal optimization problems
  • Effectively leveraging big data and cloud computing technologies to address business questions
  • Architecting, designing, and building data science products using foundational data sets that are regularly refreshed by data engineering teams
  • Developing and maintaining code for data science products in consultation with engineering teams
  • Optimizing code to make data science workflows run more efficiently
  • Consulting regularly with technology partners to ensure that proper data science tooling and platforms are available
  • Consulting regularly with business stakeholders and data product owners or managers on current data assets and data strategy in order to ensure that the right data is acquired, maintained, and used properly to solve recurring media and marketing problems within the entertainment and media industries
  • Leveraging business knowledge from business stakeholders to provide specifications and requirements to technology and data engineering teams for ingesting, transforming, and cleaning foundational data sets that can be leveraged downstream for building data science products
  • Providing documentation and instruction to other scientists, engineers, or analysts about how to use data science products to automate and scale data-retrieval, generation of data results, data-driven recommendation, or data-driven decision-making
  • Leveraging business knowledge from business stakeholders to integrate and transform data from various foundational data sets as required to create successful data science products 
  • Using code and technology to build data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence
  • Monitoring the health and deployment of statistical and machine learning models and optimization routines embedded in data science products
  • Building machine learning models, statistical models, or optimization routines for the purposes of automating and scaling tasks as part of data science products
  • Using code and data science best practices to implement bespoke, rigorous methodologies in order to systematically solve marketing problems in repeatable ways
  • Working directly with business stakeholders, analysts, and researchers to develop code to implement bespoke, rigorous analytic or business processes in order to systematically provide insights or recommendations in repeatable ways
  • Coordinating work with other science and technology teams at The Walt Disney Company

Basic Education:

  • Bachelor’s degree in Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience
  • Demonstrated academic achievement in statistics and probability—typically involving graduate-level coursework
  • Relevant areas include (but are not limited to) statistics, data science, applied mathematics, operations research, engineering, and computer science 
     

Basic Qualifications:

  • 5+ years of experience
  • Sufficient professional experience working specifically within their functional area(s) to carry out related tasks with only some supervision
  • Some demonstrated knowledge of media and marketing as well as a desire to learn more
  • Desire to learn about the entertainment / media industries
  • Reasonable level of business acumen in addition to very strong technical skills
  • Proven creative problem-solving, decision-making and critical thinking skills
  • Demonstrated outstanding interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environment
  • Demonstrated strong written and verbal communication skills
  • Strong leadership skills for a technical position
  • Ability to work independently as well as across teams in a diverse, international, collaborative environment
  • Proven ability to organize, prioritize, and balance concurrent projects and sustainment activities
  • Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data
  • Proficiency in performing exploratory quantitative analysis
  • Proficiency in fitting, evaluating, and interpreting relevant statistical or machine learning models
  • Advanced proficiency with Python
  • Proficiency with SQL
  • Demonstrated experience using big data technologies for data science—particularly Spark
  • Demonstrated experience working across technical functions
  • Demonstrated experience working with complicated systems
  • Familiarity with Tableau or other data visualization tool
  • Familiarity with cloud computing services
  • Familiarity with CI/CD and GitLab or GitHub

Preferred Qualifications:

  • Graduate degree (Master’s or Doctorate)—with significant graduate-level academic exposure to formal or quantitative methods and 3+ years of experience
  • Advanced proficiency with SQL
  • Advanced proficiency with fitting, evaluating, and interpreting relevant statistical and machine learning models
  • Proficiency with Tableau or other data visualization tool
  • Advanced proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data
  • Familiarity with the martech and adtech ecosystem


The hiring range for this position in Burbank, CA is $138,900.00 to $186,200.00 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.

Similar Jobs

Springer Group - Territory Executive - Sales / Senior Territory Executive - Sales

Springer Group

Visakhapatnam, Andhra Pradesh, India (On-Site)
3 Weeks ago
The E.W. Scripps Company - Account Executive

The E.W. Scripps Company

Nashville, Tennessee, United States (Hybrid)
1 Month ago
Intel  - Information Security System Officer (ISSO)

Intel

Santa Clara, California, United States (On-Site)
2 Weeks ago
Haleon - Sales Force Effectiveness Manager

Haleon

Mexico City, Mexico (On-Site)
1 Year ago
Amber - Senior Game Economy Designer

Amber

Guadalajara, Jalisco, Mexico (Remote)
1 Month ago
bytedance - Data Analyst - AI Innovation Business

bytedance

Singapore (On-Site)
8 Months ago
Western Digital - Intern - Business Systems Analyst

Western Digital

Prachin Buri, Thailand (On-Site)
3 Months ago
HP - Data Engineer

HP

Athens, Greece (On-Site)
3 Months ago
bytedance - Data Analyst-Workplace Service-Information System

bytedance

Dubai, Dubai, United Arab Emirates (On-Site)
8 Months ago
Sega (UK) - Data Engineer

Sega (UK)

Horsham, England, United Kingdom (Hybrid)
1 Month ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

G5 games - C++ Gameplay Programmer

G5 games

(Remote)
2 Months ago
Tesla - Delivery Advisor

Tesla

Londerzeel, Flanders, Belgium (On-Site)
4 Months ago
Actian - Senior Partner Marketing Manager

Actian

United States (Remote)
3 Weeks ago
WebTech Corporation - Field Service Technical Advising Specialist

WebTech Corporation

Johannesburg, Gauteng, South Africa (Remote)
1 Month ago
Red Point Labs - Unity Game Developer (Remote OK)

Red Point Labs

Argentina (Remote)
1 Year ago
playrix  - Lead C++ Software Engineer (Gameplay)

playrix

Cyprus (Remote)
8 Months ago
G5 games - Strategic Product Analyst

G5 games

Tbilisi, Tbilisi, Georgia (Remote)
2 Months ago
Scopely - Lead Engineer

Scopely

Mexico City, Mexico City, Mexico (On-Site)
4 Months ago
Wolters Kluwer - Senior Enterprise Software Engineer

Wolters Kluwer

Chennai, Tamil Nadu, India (Hybrid)
1 Month ago
PwC - Senior Consultant

PwC

Bengaluru, Karnataka, India (On-Site)
9 Months ago

Get notifed when new similar jobs are uploaded

Jobs in Burbank, California, United States

Spellbrush - Front-End Engineer (Anime)

Spellbrush

San Francisco, California, United States (On-Site)
3 Months ago
bytedance - Software Engineer Intern (User Product - Global Payment)

bytedance

San Jose, California, United States (On-Site)
3 Months ago
Fashionphile - Delivery Driver

Fashionphile

Cocoa, Florida, United States (On-Site)
1 Week ago
Fox Factory - Human Resources Generalist

Fox Factory

Gainesville, Georgia, United States (On-Site)
1 Month ago
GOAT Group - Junior Authentication Specialist

GOAT Group

Easton, Pennsylvania, United States (On-Site)
3 Weeks ago
Adyen - Senior Enterprise Account Executive

Adyen

New York, United States (On-Site)
1 Month ago
WebFX - Jr. Website Planning Specialist

WebFX

Harrisburg, Pennsylvania, United States (On-Site)
8 Months ago
TiMi Studio Group - Principal Cinematic Artist

TiMi Studio Group

Bellevue, Washington, United States (On-Site)
7 Months ago
Next Level Business Services - iOS Mobile Architect

Next Level Business Services

Owings Mills, Maryland, United States (On-Site)
8 Months ago
Apple - Software Engineering Manager, Apple Podcasts

Apple

San Francisco, California, United States (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Data Analysis Jobs

Dream Sports - Software Development Engineer 3 - Machine Learning & Data Platform

Dream Sports

Mumbai, Maharashtra, India (On-Site)
4 Months ago
Henkel - Data Scientist-Intern

Henkel

Pune, Maharashtra, India (On-Site)
9 Months ago
Rackspace Technology - Data Engineer IV

Rackspace Technology

Gurugram, Haryana, India (Remote)
2 Weeks ago
truecaller - Senior Staff Data Engineer II

truecaller

Stockholm, Stockholm County, Sweden (On-Site)
1 Month ago
Bede Gaming - Principal Data Engineer

Bede Gaming

Newcastle Upon Tyne, England, United Kingdom (Hybrid)
1 Month ago
Capgemini - Data center Engineer

Capgemini

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Coda - Senior/Staff Data Engineer

Coda

Bangkok, Thailand (Hybrid)
4 Weeks ago
Applike - Senior Data Scientist

Applike

Hamburg, Hamburg, Germany (Hybrid)
5 Months ago
Tesla - Data Scientist

Tesla

Brandenburg, Germany (On-Site)
4 Months ago
GoTo Group - Senior Data Warehouse Engineer (India)

GoTo Group

Gurugram, Haryana, India (On-Site)
8 Months ago

Get notifed when new similar jobs are uploaded

About The Company

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

Mumbai, Maharashtra, India (On-Site)

London, England, United Kingdom (Hybrid)

San Francisco, California, United States (On-Site)

Île-de-France, France (On-Site)

Glendale, California, United States (On-Site)

Glendale, California, United States (On-Site)

Glendale, California, United States (Remote)

Glendale, California, United States (Remote)

Burbank, California, United States (On-Site)

Papenburg, Lower Saxony, Germany (On-Site)

View All Jobs

Get notified when new jobs are added by The Walt Disney Company

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug