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Predictive Modeling Jobs in Rhode Island (NOW HIRING)

ResultStack

Sr. Data Scientist

Carolina, RI · On-site

They will do Predictive Modeling. Having proven experience building ML models from messy. High-dimensional datasets (time series, sensor data, ETA prediction, etc.). They will be well versed in AI ...

Citizens

Head of People Analytics

Johnston, RI

$205K - $277K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

Citizens

Head of People Analytics

Johnston, RI

$205K - $277K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

Citizens Bank

Head of People Analytics

Johnston, RI · On-site

$205K - $277K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

Citizens

Head of People Analytics

Johnston, RI

$205K - $277K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

Citizens

Sr Data Scientist Treasury Modeling

Johnston, RI · On-site

$124K - $165K/yr

Develop predictive models for market rates and macroeconomic variables related to ALM and CCAR * Partner with data science teams under leadership guidance to deliver model solutions * Create and ...

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All JobsPredictive Modeling JobsPredictive Modeling Jobs in Rhode Island

Predictive Modeling information

See Rhode Island salary details

$10

$57

$81

How much do predictive modeling jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for predictive modeling in Rhode Island is $57.50, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $66.88 per hour, depending on experience, location, and employer.

What is the highest paying modeling job?

In predictive modeling, senior data scientists and machine learning engineers typically earn the highest salaries, often exceeding six figures annually. These roles require advanced skills in statistical analysis, programming, and experience with tools like Python or R, and they are often found in industries such as finance, technology, and healthcare.

What are the key skills and qualifications needed to thrive in the Predictive Modeling position, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is a Predictive Modeling job?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or SAS and often require strong analytical skills and knowledge of data science techniques. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Success depends on your ability to learn and apply relevant skills, regardless of age.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What jobs will no longer exist in 2030?

Predictive modeling roles may decline as automation and AI tools increasingly handle data analysis and forecasting tasks. Jobs that involve routine, repetitive tasks are also at risk of automation, potentially reducing demand for certain administrative or manual roles. However, new jobs may emerge in AI oversight, data ethics, and advanced analytics.
What are the most commonly searched types of Predictive Modeling jobs in Rhode Island? The most popular types of Predictive Modeling jobs in Rhode Island are:
What are popular job titles related to Predictive Modeling jobs in Rhode Island? For Predictive Modeling jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Predictive Modeling jobs in Rhode Island look for? The top searched job categories for Predictive Modeling jobs in Rhode Island are:
Predictive Modeling jobs near you
Infographic showing various Predictive Modeling job openings in Rhode Island as of July 2026, with employment types broken down into 67% Full Time, 15% Part Time, and 18% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $119,596 per year, or $57.5 per hour.
Sr. Data Scientist

Sr. Data Scientist

ResultStack

Carolina, RI • On-site

Full-time

Posted 3 days ago

Job description

Must be a US Citizen or Hold a Green Card


ABOUT THE ROLE

We are looking to hire a Data Scientist who can transform the

complexity of global shipping and logistics into clear, actionable

intelligence. You'll work across operations, engineering, and leadership

to build predictive systems that optimize routes, forecast demand, and

surface insights that keep cargo moving. This is a high-impact role at the

intersection of data science, operational expertise, and emerging AI.

CORE REQUIREMENTS

This candidate will have Dashboard & BI Tooling. Being Fluent in

Tableau, Power BI, Looker, or equivalent. 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, tracking logs, port data,

weather overlays, and multi-model feeds.

They will do Predictive Modeling. Having proven experience building

ML models from messy. High-dimensional datasets (time series, sensor

data, ETA prediction, etc.).

They will be well versed in AI & Machine Learning. Having Hands-On

experience with LLM's, NLP, computer vision, or operations research

applied to real-world logistics problems.

This candidate must also be excellent in Collaboration &

Communication. They can translate model outputs into business

decisions. They will also possess strong documentation habits and

cross-functional alignment skills.

WHAT YOU'LL WORK ON

Route optimization and transit time prediction models Anomaly

detection in shipment and carrier data Real-time operational

dashboards for fleet and port performance AI-assisted demand

forecasting for freight capacity planning Cross-team data

infrastructure and model deployment support.

REQUIREMENTS

6+ Years in shipping, freight, logistics, or supply chain,

Understand how cargo and data both move.

NICE TO HAVES

Python, R, or SQL --- scripting and querying at production scale.

Software Development Principles: version control (Git), CI/CD, API

integration. Familiarity with containerization (Docker) or cloud

platform (AWS, GCP, Azure). Experience building data pipelines or ETL

workflows.