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Senior Data Scientist Machine Learning Jobs in Rhode Island

ResultStack

Sr. Data Scientist

Carolina, RI · On-site

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 ...

Varsity Tutors

Machine Learning Tutor

Providence, RI · 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 ...

Citizens

Sr Data Scientist Treasury Modeling

Johnston, RI · On-site

$124K - $165K/yr

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:

Citizens

Sr Data Scientist Treasury Modeling

Johnston, RI · On-site

$124K - $165K/yr

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:

Instacart

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 ...

Instacart

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 ...

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All JobsData Scientist Machine Learning JobsSenior Data Scientist Machine Learning JobsSenior Data Scientist Machine Learning Jobs in Rhode Island

Senior Data Scientist Machine Learning information

See Rhode Island salary details

$100.4K

$136.8K

$160.8K

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

As of Aug 12, 2026, the average yearly pay for senior data scientist machine learning in Rhode Island is $136,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,389.00 and $151,358.00 per year, depending on experience, location, and employer.

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 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.

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.

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 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 cities in Rhode Island are hiring for Senior Data Scientist Machine Learning jobs? Cities in Rhode Island with the most Senior Data Scientist Machine Learning job openings:
Senior Data Scientist Machine Learning jobs near you

Sr Data Scientist- Conversational AI & NLU

Citizens

Johnston, RI • Hybrid

$124K - $165K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Description

The Senior Data Scientist - Conversational AI & NLU is responsible for designing, developing, evaluating, and optimizing conversational AI solutions across chat and voice channels. This role focuses on GenAI-driven conversational experiences, agentic multiturn conversations, and rigorous evaluation of NLU and LLM-based systems, while serving as a primary interface between business stakeholders and data science delivery teams.

Key Responsibilities

  • Design, develop, and optimize GenAI-powered conversational AI solutions using advanced prompting strategies, structured evaluation frameworks, continuous monitoring, and solution performance reporting
  • Build and improve agentic, multi-turn conversational experiences with robust context management, memory strategies, and conversation state handling
  • Own experimentation and evaluation of NLU, LLM, and conversational AI solutions, including hypothesis definition, metric design, error analysis, and recommendation of targeted improvements
  • Act as the primary data science partner to business stakeholders by gathering requirements, clarifying objectives, translating needs into actionable analytical and modeling tasks, and driving execution to measurable outcomes
  • Assign, coordinate, review, and provide technical guidance on work delivered by onshore and offshore data scientists, ensuring analytical rigor, consistency, and timely delivery
  • Support end-to-end delivery of conversational AI and NLU capabilities for IVR and chat solutions, including intent understanding, entity extraction, dialogue flows, and conversational quality assessment
  • Analyze conversation data such as chat logs, call transcripts, and speech-to-text outputs to identify gaps, failure modes, and optimization opportunities across user journeys
  • Define and report solution-level KPIs related to conversation success, containment, task completion, accuracy, customer effort, and overall experience quality
  • Ensure conversational AI solutions align with enterprise standards, governance, and regulatory expectations, particularly in highly regulated environments

Required Qualifications

  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field
  • 5+ years of experience in data science, with at least 3+ years focused on conversational AI, NLU, or NLP-driven systems
  • Strong programming and analytical skills in Python, applied primarily to modeling, experimentation, and evaluation
  • Hands-on experience with LLM Evaluation frameworks like RAGAS, DeepEval, LangSmith, etc.
  • Proven ability to design, run, interpret, and communicate the results of NLU and conversational AI experiments, translating insights into concrete model and conversation improvements
  • Experience supporting text- and voice-based, multi-turn, actionable conversational experiences within contact center or customer-facing platforms
  • Strong communication skills with demonstrated ability to explain complex analytical concepts to technical and non-technical stakeholders

Preferred Qualifications

  • Hands-on experience with Amazon Connect, Amazon Bedrock, or Amazon Lex
  • Practical experience applying LLMs and GenAI techniques to conversational or customer experience use cases
  • Familiarity with IVR analytics, conversational logging frameworks, call transcripts, and speech-to-text data analysis
  • Experience working in banking, financial services, or other regulated enterprise environments

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week onsite, 1 day remote

Pay Transparency

The salary range for this position is $124,000 - $165,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST

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