1

Data Science Jobs in Rhode Island (NOW HIRING)

Bachelor's degree in the field of data science, computer science, information systems, or software engineering, or equivalent work-related experience required Experience: * 8+ years of relevant ...

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

Bachelor's or Master's degree in healthcare administration, data science, statistics, or equivalent work experience preferred * 2+ years of experience in healthcare analytics, reporting, or related ...

Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration Preferred Technical Expertise * Deep expertise in Neo4j platform capabilities ...

Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration Preferred Technical Expertise * Deep expertise in Neo4j platform capabilities ...

Senior Data Software Engineer

NC · On-site +1

$123K - $162K/yr

Work closely with data scientists, analysts, and other teams to gather requirements, understand data needs, and provide solutions that support data-driven decision-making. * Other duties as needed.

Showing results 21-40

Data Science information

See Rhode Island salary details

$36.7K

$120.2K

$192.4K

How much do data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science in Rhode Island is $120,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Rhode Island? The most popular types of Data Science jobs in Rhode Island are:
What are popular job titles related to Data Science jobs in Rhode Island? For Data Science jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Rhode Island look for? The top searched job categories for Data Science jobs in Rhode Island are:
What cities in Rhode Island are hiring for Data Science jobs? Cities in Rhode Island with the most Data Science job openings:
Infographic showing various Data Science job openings in Rhode Island as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $120,199 per year, or $57.8 per hour.

Data & Analytics Enablement Analyst

Citizens

Johnston, RI

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

Description

The Data & Analytics Enablement CoE Specialist is responsible for designing, delivering, and continuously improving resources and experiences that help data and analytics practitioners succeed across Citizens.

This role serves as a key contributor within the Center of Excellence, partnering with data owners, platform teams, domain leaders, subject matter experts, and practitioners to improve how colleagues discover data assets, adopt tools, access knowledge, develop skills, and connect with available support resources.

A significant focus of the role is creating scalable resources and guidance that help data and analytics colleagues improve their workflow, including navigating Citizens' complex data ecosystem, documentation, use case libraries, ownership directories, onboarding content, and practitioner guidance. In addition, the Specialist supports adoption efforts and identifies opportunities to improve the overall practitioner experience.

The ideal candidate combines a strong understanding of data and analytics tools with program execution skills, content development, stakeholder management, and problem-solving abilities. They are comfortable working independently, leading initiatives from planning through execution, and building practical solutions that make it easier for practitioners to succeed.

Key Responsibilities

Data Ecosystem Enablement & Resource Development

  • Develop and maintain resources to help practitioners understand and navigate Citizens' data and analytics ecosystem and to select the appropriate data assets, platforms, and tools, for their workflows

  • Build and maintain directories that clarify ownership of data assets and platforms and outline office hours, support channels, access instructions, and related resources, so practitioners know where to go for specific needs.

  • Develop standards and drive adoption for data asset owners around community communications, support resources, office hours, et cetera

  • Partner with data asset owners, platform teams, governance partners, and practitioner groups to keep resource information current, validate recommended usage guidance, and surface gaps that may create confusion or friction for users

Resource Support for Technical Tools and Platforms

  • Curate resource assets to support practitioner needs and promote best practices, such as sample code, tip sheets, instructional videos, and other self-service resources.

  • Develop scalable onboarding solutions in partnership with hiring managers and the data and analytics early career program to support expedited onboarding of talent.

  • Identify practitioner gaps or friction points in adopting enterprise standards, tools, and leveraging metadata resources and work with owners to identify enhancements and solutions to facilitate adoption.

  • Collaborate with stakeholders to ensure enablement assets and resources curated by partnering teams align with current standards, business priorities, and enterprise best practices.

Learning and Development Support for Technical Skills

  • Collaborate with managers and learning teams to inform technical skill development strategies, including badges (Tableau, SQL, Python, et cetera) to ensure skill needs are met.

  • Lead the organization and execution of technical challenges, such as Datathons or badge campaigns, for the purpose of promoting platforms, best practices, and skill development

  • Plan in-person, virtual, and recorded workshops and training for practitioners across a wide geographic footprint. Responsibilities include agenda development, access provisioning, presenter selection, and event facilitation.

  • Support colleagues in the responsible adoption of Generative AI in their workflows.

Required Education and Capabilities

  • Minimum 3+ years of experience as a technical practitioner or in a role supporting practitioners in a technical capacity required. 

  • Familiarity with modern enterprise data platforms, cloud environments, and analytics tools used across the practitioner community - SQL, Python, Snowflake, Tableau, Collibra, Informatica, AWS (e.g., SageMaker, Redshift), Alteryx, Dbeaver, SharePoint, 

  • Possess an understanding of data governance, data quality, and compliance-driven controls within a heavily regulated industry.

  • Bachelor's degree in data science, data management, computer science, analytics, or related technical field preferred, will consider history of competency in lieu of formal education 

  • Experience translating ambiguous objectives into structured plans, defining project scope, milestones, and solutions to address blockers. 
  • Ability to create clear, engaging training resources for practitioners. Preferred experience planning or coordinating technical events or workshops.

  • Commitment to fostering a collaborative, inclusive environment where practitioners feel comfortable asking questions and building skills.

  • Strong written and verbal communication skills with the ability to translate technical concepts for diverse audiences preferred. Ability to adhere to team communication standards required.

Preferred Experiences

  • Experience translating ambiguous objectives into structured plans, defining project scope, milestones, and solutions to address blockers. 
  • Ability to create clear, engaging training resources for practitioners. Preferred experience planning or coordinating technical events or workshops.

  • Commitment to fostering a collaborative, inclusive environment where practitioners feel comfortable asking questions and building skills.

  • Strong written and verbal communication skills with the ability to translate technical concepts for diverse audiences preferred. Ability to adhere to team communication standards required.

Pay Transparency

The salary range for this position is $110,000 - $145,000 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