1

Freelance Data Scientist Machine Learning Jobs in Rhode Island

Must be a US Citizen or Hold a Green Card ABOUT THE ROLE We are looking to hire a Data Scientist ... They will be well versed in AI & Machine Learning. Having Hands-On experience with LLM's, NLP ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Data Scientist

Woonsocket, RI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... learning. We offer quality career resources, training, certifications, development opportunities ... UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Data Science Tutor

Providence, RI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Sr. Associate Data Scientist

East Greenwich, RI · On-site +1

$122K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning and data mining technologies. Specific duties include: execute on standard business challenges involving data science; succeed in projects by scoping, defining measures of success ...

Sr. Associate Data Scientist

East Greenwich, RI · On-site

$122K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning and data mining technologies. Specific duties include: execute on standard business challenges involving data science; succeed in projects by scoping, defining measures of success ...

next page

Showing results 1-20

Freelance Data Scientist Machine Learning information

What is the difference between Freelance Data Scientist Machine Learning vs Freelance Data Analyst?

AspectFreelance Data Scientist Machine LearningFreelance Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, visualization, basic statistical analysis
Tools & TechnologiesTensorFlow, scikit-learn, Jupyter, cloud platformsExcel, Tableau, SQL
Work EnvironmentProject-based, consulting, remote or client sitesRemote, freelance consulting, client reports
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Freelance Data Scientist Machine Learning professionals focus on developing predictive models and algorithms using advanced techniques, often requiring programming and statistical expertise. Freelance Data Analysts handle data interpretation, visualization, and reporting, typically with less technical complexity. Both roles are in high demand but differ in skill level, tools, and project scope.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Rhode Island?

The most popular types of Data Scientist Machine Learning jobs in Rhode Island are:

What are popular job titles related to Freelance Data Scientist Machine Learning jobs in Rhode Island?

For Freelance Data Scientist Machine Learning jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Freelance Data Scientist Machine Learning jobs in Rhode Island look for?

The top searched job categories for Freelance Data Scientist Machine Learning jobs in Rhode Island are:

Sr. Data Scientist

ResultStack

Carolina, RI • On-site

Full-time

Re-posted 25 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.