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Senior Data Scientist Machine Learning Jobs in Cranston, RI

Machine Learning Tutor

Providence, RI ยท Remote

$18 - $40/hr

... 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 ...

Partner with data science teams under leadership guidance to deliver model solutions * Create and ... Prepare materials for Asset Liability Committee and senior management Required Qualifications:

Partner with data science teams under leadership guidance to deliver model solutions * Create and ... Prepare materials for Asset Liability Committee and senior management Required Qualifications:

Showing results 21-40

Senior Data Scientist Machine Learning information

See Cranston, RI salary details

$40.6K

$139.3K

$196.6K

How much do senior data scientist machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior data scientist machine learning in Cranston, RI is $139,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $162,800.00 per year, depending on experience, location, and employer.

What does a senior data scientist specializing in machine learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive as a senior data scientist in machine learning?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a senior data scientist specializing in machine learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

Senior Machine Learning Engineer - Providence - Rag/LLM/Ai

Motion Recruitment

Providence, RI โ€ข Hybrid

$105K - $144K/yr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Job Description

A well-established enterprise information and analytics organization is adding a Senior Machine Learning Engineer to its Providence team. Working on a hybrid schedule, this person will lead technical efforts that turn emerging AI concepts into durable, large-scale product capabilities.

You will focus on intelligent tools built for research-intensive professional users, with an emphasis on generative AI, semantic search, retrieval frameworks, and multi-step agent workflows. The role blends hands-on development with technical leadership: evaluating new approaches, shaping reusable platform patterns, and establishing standards that help AI solutions operate consistently across a global product portfolio.

Required Skills & Experience

Extensive experience designing and delivering applied machine learning solutions

Proven ability to build systems powered by large language models and AI agents

Strong understanding of retrieval-augmented generation, embeddings, and vector-based search

Experience supporting model delivery through MLOps tooling and production practices

Advanced Python programming ability

Experience deploying cloud-native services with AWS and Kubernetes

Desired Skills & Experience

Prior work in legal technology, knowledge management, publishing, or another information-rich industry

12 or more years of software development experience, or at least 8 years plus a doctorate

Degree in computer science, machine learning, engineering, or a comparable technical field

What You Will Be Doing

Daily Responsibilities

100% hands-on technical contribution

Develop and release AI features that improve how professionals discover, evaluate, and use complex information

Create scalable services and shared infrastructure for distributed machine learning applications

Implement retrieval pipelines, agent orchestration, and supporting components for generative AI products

Coordinate with application, cloud, data, and security teams to meet performance, reliability, and governance requirements

The Offer

Performance bonus eligibility

You will receive the following benefits

Medical insurance options

Dental coverage

Vision coverage

Paid time away from work

401(k) plan with company matching when applicable

This opportunity follows a hybrid work model in Providence, Rhode Island.
Applicants must have unrestricted authorization to work in the United States on a full-time basis now and in the future.