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Senior Data Scientist Machine Learning Jobs in Cranston, RI

Keylent Inc

Data Scientist TECHM-JOB-25354

Johnston, RI · On-site

... machine learning techniques, and programming languages, notably Python. • Extensive experience with Data Bricks and its integration with other data science tools. • Knowledge of a variety of ...

Citizens

Senior Data Engineer

Johnston, RI · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop ... Collaborate with data science and analytics teams to support machine learning, AI, and advanced ...

Citizens

Senior Data Engineer

Johnston, RI · On-site +1

$105K - $158K/yr

Description Senior Data Engineer Role Summary As a Senior Data Engineer, you will design, develop ... Collaborate with data science and analytics teams to support machine learning, AI, and advanced ...

A.I.S., Inc.

Data Scientist

Dartmouth, MA · On-site

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Support annotation of datasets and development of machine learning models, including training and ...

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All JobsData Scientist Machine Learning JobsSenior Data Scientist Machine Learning JobsSenior Data Scientist Machine Learning Jobs in Cranston, RI

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 Data Scientist Machine Learning jobs near you

Senior Data Scientist - Providence

Motion Recruitment Partners, LLC

Providence, RI • On-site

Other

Posted 27 days ago

Job description

Opportunity Overview
A provider of digital research and analytics products is hiring a Senior Data Scientist for a hybrid role in Providence, Rhode Island. This position will influence how advanced AI is applied to legal and regulatory intelligence products used by professional customers.
Rather than focusing only on model training, this role will examine the entire analytical system: the source data, retrieval behavior, model reasoning, evaluation criteria, and user outcome. Major initiatives include LLM-powered research experiences, agentic automation, semantic retrieval, and intelligent processing of complex documents.
What You Bring
8+ years of experience delivering data science, NLP, or applied AI solutions
Strong command of language modeling, text analytics, and generative AI concepts
Experience creating production-oriented RAG architectures and semantic search solutions
Practical knowledge of agent frameworks and goal-driven AI workflows
Understanding of distributed computation and large-scale AI system design
Ability to evaluate model performance using quantitative analysis and structured experimentation
Valued Experience
Exposure to case law, statutes, regulatory materials, compliance data, or comparable specialized content
A bachelor's degree in a relevant discipline is required, with a master's degree preferred
Experience balancing research innovation with reliability and product constraints
The Work
Primary Areas of Focus
Drive data science strategy for new research, document intelligence, and workflow-automation features
Create methods for chunking, indexing, retrieving, and ranking long-form professional content
Develop and assess LLM-based approaches for summarization, question answering, and interpretation
Prototype agentic systems capable of carrying out multi-stage research and analysis tasks
Present findings and recommendations to technical partners and help move successful concepts into enterprise products
Contract Information
6-month contract-to-hire engagement
Role highlights
Hybrid position located in Providence, Rhode Island
Direct impact on the design of next-generation AI-enabled research tools
Work involving complex text corpora and high-value professional use cases
Collaborative environment spanning data, software, architecture, and product disciplines
Pay and benefit details will be shared as part of the hiring process
Full-time United States work authorization is required both presently and on an ongoing basis.

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