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Remote Disney Data Science Jobs in Utah (NOW HIRING)

Data Scientist

Eden, UT · On-site +1

$170K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Communicate clearly and proactively in a remote-first environment Qualifications Required * Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related ...

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

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Remote Disney Data Science information

What is the difference between Remote Disney Data Science vs Remote Disney Data Analyst?

AspectRemote Disney Data ScienceRemote Disney Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learning and programming languages like Python or RDegree in Business, Economics, or related field; proficiency in data visualization and basic analytics tools
Work EnvironmentCollaborative remote teams focused on advanced data modeling and predictive analyticsRemote roles analyzing data trends, generating reports, and supporting decision-making
Employer & Industry UsageUsed in entertainment, media, and theme park operations within DisneyCommon in marketing, finance, and operations departments across Disney

Remote Disney Data Science involves developing complex models and algorithms to extract insights, requiring technical expertise. In contrast, Remote Disney Data Analysts focus on interpreting data, creating reports, and supporting strategic decisions. Both roles are essential but differ in technical depth and responsibilities.

What are popular job titles related to Remote Disney Data Science jobs in Utah?

For Remote Disney Data Science jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Remote Disney Data Science jobs?

Cities in Utah with the most Remote Disney Data Science job openings:

Data Scientist

Audiohook

Eden, UT • On-site, Remote

$170K/yr

Full-time

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Role Overview

The Data Scientist will own the measurement science behind Audiohook\'s performance audio advertising platform. You\'ll design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers. This role combines hands-on modeling with the opportunity to shape how we prove value to customers, sharpen our bidding and optimization systems, and influence product direction. You\'ll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn\'t just statistically sound but operationally useful.

Key ResponsibilitiesMarketing Measurement & Causal Inference
  • Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify Audiohook\'s lift for advertisers

  • Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns

  • Apply causal inference methods — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — to questions that can\'t be answered with RCTs

  • Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team

Modeling & Analysis
  • Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions

  • Develop and validate predictive models that improve campaign performance and platform efficiency

  • Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality

Cross-Functional Collaboration
  • Partner with Sales and Customer Success on measurement studies for priority accounts and renewals

  • Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data

  • Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats

  • Communicate clearly and proactively in a remote-first environment

QualificationsRequired
  • Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field

  • 3–5 years of applied data science experience with a focus on marketing measurement — incrementality, MMM, attribution, or causal analysis

  • Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context

  • Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL

  • Solid grounding in statistical inference, regression, and causal methods

  • Ability to communicate technical results to non-technical audiences — advertisers, sales, leadership

  • Excellent attention to detail and intellectual honesty about model limitations

Preferred
  • Experience in adtech, digital advertising, or media measurement

  • Experience with Bayesian methods or Bayesian MMM frameworks (e.g., PyMC-Marketing, LightweightMMM, Robyn)

  • Experience working with large-scale ad event data (impressions, clicks, conversions) and modern data stacks (e.g., Iceberg, Snowflake, BigQuery)

  • Experience in a startup or high-growth company

  • Comfort using AI tools to accelerate exploratory analysis, code, and write-ups while maintaining methodological rigor

What We Offer
  • Fully remote work environment

  • Competitive salary and equity opportunities

  • Performance bonuses

  • Health, dental, and vision benefits

  • Other benefits such as daily lunch stipend, monthly wifi, cell phone and subscription reimbursement, and annual hardware stipend

  • Flexible PTO and remote-friendly culture

  • Bi-annual Corporate Offsites

  • Opportunity to help shape a function at a rapidly scaling tech company