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Remote Data Modeler Jobs in Austin, TX (NOW HIRING)

Pabst

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... Familiarity with Medallion Architecture (Bronze/Silver/Gold) data modeling approaches * Experience ...

myHR Partner

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Comfortable with Elasticsearch or Solr, schema evolution, and data modeling * Familiar with cloud ...

SpyCloud

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

You'll own the full model lifecycle - from data understanding and preparation through prototyping ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

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How much do remote data modeler jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote data modeler in Austin, TX is $58.20, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $67.69 per hour, depending on experience, location, and employer.

What is a remote data modeler?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

What does a remote data modeler do?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What skills and qualifications are needed to thrive as a remote data modeler?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What are the most commonly searched types of Data Modeler jobs in Austin, TX?

The most popular types of Data Modeler jobs in Austin, TX are:

What are popular job titles related to Remote Data Modeler jobs in Austin, TX?

For Remote Data Modeler jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Modeler jobs in Austin, TX look for?

The top searched job categories for Remote Data Modeler jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Data Modeler jobs?

Cities near Austin, TX with the most Remote Data Modeler job openings:

Remote Data Modeler jobs near you
Infographic showing various Remote Data Modeler job openings in Austin, TX as of August 2026, with employment types broken down into 2% Internship, 83% Full Time, 8% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,049 per year, or $58.2 per hour.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 7 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

Apply