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Modeler Jobs in Rhode Island (NOW HIRING)

Align content models with system architecture across CMS, API, and engineering teams so content can be created, stored, and delivered consistently * Define structured data standards, including schema ...

Align content models with system architecture across CMS, API, and engineering teams so content can be created, stored, and delivered consistently * Define structured data standards, including schema ...

Data Architect

Johnston, RI · On-site

$64.75 - $83.25/hr

Develop and enhance canonical data models, semantic models, and domain‑driven data contracts to enable cross‑enterprise data interoperability. * Produce conceptual, logical, and physical data ...

Data Architect

Johnston, RI · Remote

$64.75 - $83.25/hr

Develop and enhance canonical data models, semantic models, and domaindriven data contracts to enable crossenterprise data interoperability. * Produce conceptual, logical, and physical data models ...

They will be able to model data and present it for both technical and executive audiences. They will have Complex Data Fluency. Being very comfortable wrangling large, noisy datasets --- EDI records ...

Showing results 21-40

Modeler information

See Rhode Island salary details

$21

$39

$74

How much do modeler jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for modeler in Rhode Island is $39.50, according to ZipRecruiter salary data. Most workers in this role earn between $30.62 and $42.60 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 Rhode Island? For Modeler jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Modeler jobs in Rhode Island look for? The top searched job categories for Modeler jobs in Rhode Island are:
What are popular job titles related to Modeler jobs in RI? For Modeler jobs in RI, the most frequently searched job titles are:
Infographic showing various Modeler job openings in Rhode Island as of August 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $82,160 per year, or $39.5 per hour.

AI Platform Director- Data Engineering

First Citizens Bank

Carolina, RI • On-site

$254K/yr

Full-time

Posted 15 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 170 rated banks


Job description

Overview

We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle—from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.

As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders—ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value. 


Responsibilities

AWS AI/ML Platform Ownership

  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation. 
  • Continuously enhance the platform’s automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines. 
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design. 

Machine Learning & GenAI Execution

  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.

 

Data & Engineering Collaboration

  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems

 

Model Governance & Risk Compliance

  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks. 
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform’s core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery. 
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)

 

Team Building & Leadership

  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies. 
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control

Qualifications

Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Qualifications

  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications

  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Qualifications

  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications

  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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