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Associate Marketing Data Science

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Data
    Marketing
  • Burbank

AI generated summary

  • You must have a relevant degree, strong skills in Python and SQL, experience with data manipulation and analysis, and a desire to learn about media, marketing, and adtech.
  • You will troubleshoot media measurement issues, design solutions, consult stakeholders, analyze A/B tests, develop models, optimize performance, and coordinate with tech teams to enhance marketing strategies.

Requirements

  • Bachelor's degree in Mathematics, Economics, Statistics, Data Science with significant academic exposure to formal or quantitative methods
  • Demonstrated academic achievement in statistics and probability—typically involving graduate-level coursework
  • Further demonstrated academic achievement in areas related to specialization:
  • Marketing Measurement and Valuation Specialization: relevant areas include (but are not limited to) cognitive science, economics, applied statistics, and business
  • Statistics, Data Science, and Optimization: relevant areas include (but are not limited to) statistics, data science, applied mathematics, and operations research
  • Desire to learn about media and marketing
  • Desire to learn about the entertainment / media industries
  • Some business acumen in addition to strong technical skills
  • Demonstrated potential for developing strong creative problem-solving, decision-making and critical thinking skills
  • Demonstrated strong interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environment
  • Demonstrated strong written and verbal communication skills
  • Ability to work independently as well as across teams in a diverse, international, collaborative environment
  • Demonstrated experience with organizing, prioritizing, and balancing concurrent projects and sustainment activities
  • Demonstrated experience with acquiring, organizing, cleansing, manipulating, and merging large volumes of data
  • Demonstrated experience with performing exploratory quantitative analysis
  • Demonstrated experience with fitting, evaluating, and interpreting relevant statistical or machine learning models
  • Demonstrated experience with Python
  • Familiarity with SQL
  • Familiarity with Tableau or other data visualization tool
  • Familiarity with cloud computing services
  • Familiarity with CI/CD and GitLab or GitHub
  • Desire to learn about the martech and adtech ecosystem
  • Graduate degree (Master’s or Doctorate)—with significant graduate-level academic exposure to formal or quantitative methods
  • Proficiency with Python
  • Demonstrated experience with SQL
  • Demonstrated experience with Tableau or other data visualization tool
  • Demonstrated experience using big data technologies for data science—particularly Spark
  • Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data

Responsibilities

  • Troubleshooting problems with existing media measurement solutions, including problems that arise from changes in the martech or adtech measurement ecosystem (e.g. iOS14 update, cookie deprecation, etc.)
  • Consulting with business stakeholders within TWDS media team (or adjacent teams within TWDS Marketing) to design business processes or campaign architectures that achieve better results on various media platforms including DSPs (DV360, The Trade Desk, Amazon DSP, etc.) or walled gardens (YouTube, Facebook, Twitter, Tiktok, etc.)
  • Consulting with business stakeholders within TWDS media team (or adjacent teams within TWDS Marketing) to precisely formulate media business problems that might benefit from data-driven solutions
  • Using knowledge of media measurement—including, but not limited to knowledge of pixels, SDKs, server-to-server integrations, media platform APIs, and identity graphs—to design measurement solutions for media business problems
  • Translating media business problems into formal problems that can be solved by technical teams
  • Validating whether proposed solutions and existing products successfully address media business problems
  • Overseeing design, execution, and analysis of A/B tests in order to evaluate the effectiveness of media / marketing exposure across different dimensions
  • Designing, interpreting or otherwise using formal models (e.g. marketing mix models, attribution models) to measure causal effects of marketing or media
  • Building financial valuation models of marketing or media performance in order to demonstrate the value created by application of scientific approaches or uncover additional areas for improvement
  • Using concepts and principles of economics to better understand the effects of competition on marketing
  • Using concepts and principles of economics or finance to better understand the effects of marketing on the lifetime value of movies
  • 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
  • Formulating and solving optimization problems
  • Coordinating work with other science and technology teams at The Walt Disney Company
  • 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

FAQs

What is the primary focus of the Associate Marketing Data Scientist role?

The primary focus of the Associate Marketing Data Scientist role is to develop expertise in data-driven marketing, applying knowledge from various academic disciplines, particularly in applied mathematics and the social sciences, to enhance marketing effectiveness at The Walt Disney Studios.

What kind of projects will I engage in as an Associate Marketing Data Scientist?

You will engage in projects related to market research, experimentation, forecasting, causal measurement, optimization, and data-related automation and data product development.

What qualifications are required for this position?

A Bachelor's degree in Mathematics, Economics, Statistics, Data Science, or related fields with significant academic exposure to formal or quantitative methods is required. Graduate-level coursework in statistics and probability is also preferred.

What technical skills are necessary for this role?

Proficiency in Python, familiarity with SQL, and experience with data visualization tools like Tableau are necessary. Knowledge of big data technologies and cloud computing services is also beneficial.

Are there opportunities for growth and learning in this role?

Yes, the role offers opportunities to learn about media and marketing, as well as the entertainment industry, with a strong emphasis on developing problem-solving and technical skills.

What is the expected salary range for this position?

The hiring range for this position in Burbank, CA is $95,300.00 to $127,800.00 per year, depending on various factors such as internal equity, geographic region, job-related knowledge, skills, and experience.

Will I be working independently or as part of a team?

You will be required to work independently as well as collaborate with diverse teams in a rapidly changing environment.

What types of models will I be working with in this role?

You will be working with models such as marketing mix models, attribution models, and other statistical or machine learning models to measure causal effects of marketing efforts or media exposure.

Is experience in the martech and adtech ecosystem important for this role?

Yes, a desire to learn about the martech and adtech ecosystem is important, as you will be involved in designing measurement solutions and strategies that enhance marketing performance.

What kind of interpersonal skills are valued for this position?

Strong interpersonal skills are valued, including the ability to partner with others, handle multiple priorities, and communicate effectively, both in writing and verbally, in a collaborative environment.

Entertainment & Media
Industry
10,001+
Employees

Mission & Purpose

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!