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Entry Level Remote Data Modeler Jobs in Texas (NOW HIRING)

CVS Health

Data Engineer

Irving, TX · On-site +1

$141K - $144K/yr

Duties include: develop large scale data structures and pipelines to organize, collect and ... by the model/use case. Hybrid position: remote work permitted but must live within commuting ...

Resource Innovations

Energy Engineer

Dallas, TX · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... modeling software. * Evaluate energy impacts for measures related to HVAC systems and controls ...

First Citizens Bank

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support ...

First Citizens Bank

Data Engineer II

Austin, TX · On-site +1

$113K - $136K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support ...

BNSF Railway

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 ... Lead the development and deployment of advanced machine learning models to forecast outcomes and ...

Orionyx Enginnering

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Predictive Modeling: * Develop predictive models to forecast project timelines, resource allocation ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Independentlydesignsanddevelops statistical models andanalytical solutions. * Develops ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

3B Staffing LLC

MDG Consultant

Dallas, TX · Remote

Strong understanding of master data objects, data models, workflows, and governance processes ... Ability to work independently in a remote environment across time zones in Latin America.

3B Staffing LLC

MDG Consultant

Dallas, TX · Remote

Strong understanding of master data objects, data models, workflows, and governance processes ... Ability to work independently in a remote environment across time zones in Latin America.

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Research advanced modeling and AI techniques to improve predictive modeling and maintain business ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Emerus

Junior Business Intelligence Developer

The Woodlands, TX · Remote

$61K - $79K/yr

... data model components and dashboards, and applying tuning and enhancements as directed. This ... remote. * Develop: Build and maintain reports, dashboards, and datasets in Power BI, Databricks ...

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Entry Level Remote Data Modeler information

What does an entry level remote data modeler do?

An Entry Level Remote Data Modeler assists in designing, creating, and maintaining data models that organize and structure information for companies, typically while working from home. They work closely with data architects and analysts to translate business requirements into technical data structures, such as databases or data warehouses. Their tasks may include creating diagrams, documenting data flows, and ensuring data integrity. This role often requires proficiency in data modeling tools and a basic understanding of databases and data management concepts.

What are the key skills and qualifications needed to thrive as an entry level remote data modeler, and why are they important?

To thrive as an Entry Level Remote Data Modeler, you need foundational knowledge in database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with tools like ER/Studio, Microsoft Visio, and SQL-based database systems is typically expected. Strong analytical thinking, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are important because they ensure accurate data structure design, collaboration with remote teams, and successful implementation of data solutions.

What are the typical challenges faced by entry level remote data modelers, and how can they overcome them?

Entry-level remote data modelers often face challenges such as limited access to immediate mentorship, difficulty understanding complex data structures, and ensuring clear communication with distributed teams. To overcome these obstacles, it’s important to proactively seek feedback through regular virtual meetings, utilize collaboration platforms for documentation and model sharing, and participate in online forums or communities for peer support. Building a habit of clear, detailed documentation and asking clarifying questions early can also help navigate the learning curve and contribute effectively to team projects.

What is the difference between Entry Level Remote Data Modeler vs Entry Level Remote Data Analyst?

AspectEntry Level Remote Data ModelerEntry Level Remote Data Analyst
Primary FocusDesigning and developing data models and database structuresAnalyzing data sets to identify trends and generate reports
Required SkillsData modeling, SQL, database design, understanding of data architectureData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, often collaborating with data engineers and developersRemote, working with business teams and stakeholders
Common CertificationsNone required but beneficial: Microsoft Certified Data Analyst, IBM Data ScienceNone required but beneficial: Microsoft Certified Data Analyst, Google Data Analytics

While both roles are entry-level and often remote, data modelers focus on structuring and designing data systems, whereas data analysts interpret data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Remote Data Modeler jobs in Texas?

The most popular types of Remote Data Modeler jobs in Texas are:

What are popular job titles related to Entry Level Remote Data Modeler jobs in Texas?

For Entry Level Remote Data Modeler jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Data Modeler jobs in Texas look for?

The top searched job categories for Entry Level Remote Data Modeler jobs in Texas are:

What cities in Texas are hiring for Entry Level Remote Data Modeler jobs?

Cities in Texas with the most Entry Level Remote Data Modeler job openings:

Entry Level Remote Data Modeler jobs near you
Infographic showing various Entry Level Remote Data Modeler job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • On-site, Remote

Full-time

Re-posted 16 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

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