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Entry Level Remote Data Modeler Jobs in Dallas, TX

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

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Ensure these models address key business challenges and deliver actionable insights. * Create clear ...

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling ...

Data Scientist

Frisco, TX · On-site +1

$104K - $180K/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 ...

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 ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

Showing results 21-40

Entry Level Remote Data Modeler information

See Dallas, TX salary details

$10

$58

$82

How much do entry level remote data modeler jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for entry level remote data modeler in Dallas, TX is $58.08, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $67.55 per hour, depending on experience, location, and employer.

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 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 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 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 Dallas, TX? The most popular types of Remote Data Modeler jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Entry Level Remote Data Modeler jobs? Cities near Dallas, TX with the most Entry Level Remote Data Modeler job openings:

Data Scientist

Kemper

Dallas, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Location(s)

Alpharetta, Georgia, Boston, Massachusetts, Charlotte, North Carolina, Chicago, Illinois, Cincinnati, Ohio, Dallas, Texas

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Position Summary:

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization's success. As a member of the Kemper Auto Data Science team, this position is responsible for building and developing analytical solutions, especially in updating existing solutions.

Position Responsibilities:

  • Independentlydesignsanddevelops statistical models andanalytical solutions.
  • Develops andautomatesanalytical processes that can be deployedthroughoutthe organization to solve recurring analytics needs.
  • Communicates project progress and challenges to the working team.
  • Developsdatabase, technical,and businessknowledge.
  • Documents modeling assumptions, methodology, code, and analytical results clearly and consistently.
  • Participates in model reviews, code reviews, and technical discussions with data science peers.

Position Qualifications:

Minimum Job Requirements

  • Graduate degree inMathematics,Statistics,Engineering, or other STEM field with2-4 yearsofexperience working in a data science/analyticsenvironment.
  • PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related industryexperiencepreferred.

Required Job Skills

  • Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries.
  • Proficiency writing and interpreting SQL queries for data extraction and analysis
  • Solid understanding of statistical modeling and machine learning concepts, including model training, validation, performance evaluation, and interpretation.
  • Hands-on experience with common statistical and machine learning techniques, such as generalized linear models, regularized regression, tree-based models, ensemble methods, clustering, or neural networks.
  • Ability to write readable, maintainable, and well-documented Python code.
  • Experience working with structured datasets from relational databases, delimited files, data frames, and other common data formats.
  • Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences.
  • Ability to work independently on defined assignments while seeking guidance appropriately on complex or ambiguous problems.

Preferred Qualifications

  • Experience with time series modeling techniques, such as ARIMA, forecasting, or trend analysis
  • Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical business environment is preferred but not required.
  • Experience with Git, GitLab, or other version control and collaborative development tools.
  • Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments.
  • Exposure to MLOps concepts such as model packaging, version control, CI/CD workflows, reproducible pipelines, and model deployment.

Other

  • Sponsorship is not accepted for this role
  • This role can be worked hybrid out of Richards, TX or Alpharetta, GA office. Remote options are available for non-local candidate.
  • The range for this position is $93,300 to $155,200. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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