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Remote Disney Data Science Jobs in Texas (NOW HIRING)

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... This role is ideal for someone who will thrive working at the intersection of computational science ...

Education: Bachelor's degree in a quantitative field (data science, statistics, mathematics ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

REMOTE Anticipated Start Date: 07/01/2026 The US base salary range for this full-time position is ... Apply data science skills to analyze large, complex datasets and identify meaningful patterns that ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Being curious, proactively digging data for actionable insights * Translates recommendation into ...

Assistwith the setup, management, and streamlining of data pipelines for multiple data science and ... Gartner offers a hybrid, flexible environment, with remote work and opportunities to connect with ...

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Showing results 21-40

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 the most commonly searched types of Disney Data Science jobs in Texas?

The most popular types of Disney Data Science jobs in Texas are:

What job categories do people searching Remote Disney Data Science jobs in Texas look for?

The top searched job categories for Remote Disney Data Science jobs in Texas are:

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

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

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 29 days ago


Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.

Job responsibilities
  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform

  • Performs diagnostics and root-cause analysis and provide fixes

  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow

Course work/experience:
  • Data manipulation

    • SQL

    • Operating on big datasets in Python

    • Data visualization

  • Mathematical optimization

    • Linear optimization concepts

    • Nonlinear continuous optimization

    • Linear algebra

  • Mathematical modeling

    • Using parametrized systems of equations to represent real-world systems

  • Statistics

    • Multivariate regression

    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters

    • Bayesian concepts

    • Hypotheses testing

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude
  • Engineering and detective mindset

    • Both to diagnose data and existing algorithms and to develop new analytics functionality

  • Pragmatic approach to real-world problems

  • Focus on problem solving over applying specific models

  • Willingness to make approximations and assumptions rather than find "the" optimal solution

  • Ability to combine multiple techniques and models to solve end-to end-problems

  • Communication and collaboration skill

  • Ability to convert non-technical requests into project specifications