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Modeler Jobs in Baton Rouge, LA (NOW HIRING)

Data Engineer

Baton Rouge, LA · On-site

$110K - $132K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart. We are embarked on a journey to build Environments that ...

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced ...

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced ...

Ability to explain utility maximization, production functions, IS-LM model, aggregate supply-demand framework, and comparative advantage while preparing students for intermediate economics and ...

Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric interpretation. Guides students through data preprocessing, feature selection, building and comparing ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Ability to explain demographic transition model, Ravenstein migration laws, and von Thunen model while preparing students for the AP Human Geography examination. * Conceptual Teaching & Problem ...

Showing results 21-40

Modeler information

See Baton Rouge, LA salary details

$21

$38

$73

How much do modeler jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for modeler in Baton Rouge, LA is $38.73, according to ZipRecruiter salary data. Most workers in this role earn between $30.00 and $41.78 per hour, depending on experience, location, and employer.

What does a modeler do?

A data modeler builds an organizational structure for a company’s data. As a data modeler, your primary responsibility is database design. Following directives from business leaders, your focus may be reducing data redundancy, improving data migration, or facilitating data retrieval. Collaboration with data architects and other data modelers is a regular aspect of your job as the team works to create physical, logical, and conceptual data models that help achieve business objectives. Your ability to translate raw data into actionable information is of great value to large corporations.

What is the difference between Modeler vs Data Analyst?

AspectModelerData Analyst
Required CredentialsDegree in mathematics, statistics, or related field; certifications in modeling softwareDegree in statistics, data science, or related; certifications in data analysis tools
Work EnvironmentFinancial, insurance, or engineering firms focusing on creating modelsBusiness, marketing, or finance sectors analyzing data trends
Employer & Industry UsageUsed for risk assessment, financial forecasting, and simulationUsed for reporting, data visualization, and insights generation

Modelers focus on developing mathematical and statistical models to predict and simulate scenarios, often working with complex software. Data Analysts interpret data, generate reports, and provide actionable insights. While both roles require strong analytical skills and familiarity with data tools, Modelers typically work on building predictive models, whereas Data Analysts focus on analyzing and visualizing data to inform decisions.

How much do modelers make?

Modelers' salaries vary based on experience, industry, and location, but the median annual salary typically ranges from $50,000 to $80,000. Skilled modelers proficient in software like AutoCAD, Revit, or 3D modeling tools can earn higher wages, especially with certifications or specialized expertise.

How do modelers typically collaborate with other team members during a project?

Modelers work closely with designers, animators, and technical directors to ensure that 3D assets meet both artistic and technical requirements. Regular meetings and feedback sessions help align the model's style and functionality with the project's vision. Modelers often iterate on their work based on input from other departments, making strong communication and adaptability key to success in this role. The collaborative environment fosters learning and can lead to new opportunities in areas such as texturing or animation.

What is a modeler?

Modelers are professionals who create representations of objects, systems, or concepts, often using specialized software. Their work can involve building physical models for engineering, architecture, or science, or developing digital models for industries like animation, gaming, finance, or data analysis. Modelers use their technical skills to simulate real-world behaviors, visualize ideas, and support decision-making. Their specific responsibilities depend on the industry but generally involve detailed design, analysis, and collaboration with other specialists.

Is modeling a good paying job?

Modeling can be a well-paying career, especially for top-tier models in fashion, commercial, or runway work, with earnings varying based on experience, market, and client demand. Successful models often supplement income through brand endorsements, agency representation, and social media presence. However, income levels can be inconsistent and competitive, requiring strong networking and portfolio development.

What skills or qualifications do I need to be a modeler?

To thrive as a Modeler, you need strong mathematical and analytical abilities, experience with data analysis, and typically a degree in mathematics, statistics, computer science, or a related field. Proficiency with modeling software such as MATLAB, SAS, R, Python, and familiarity with database systems are commonly required. Attention to detail, problem-solving, and effective communication help modelers translate complex data insights into actionable recommendations. These skills are crucial for developing accurate models that inform business decisions and drive organizational success.

What are popular job titles related to Modeler jobs in Baton Rouge, LA?

For Modeler jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Modeler jobs in Baton Rouge, LA look for?

The top searched job categories for Modeler jobs in Baton Rouge, LA are:

Infographic showing various Modeler job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, 1% Temporary, and 9% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $80,560 per year, or $38.7 per hour.

Data Engineer

Bespoke Labs

Baton Rouge, LA • On-site

$110K - $132K/yr

Full-time

Re-posted 28 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines