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Remote Data Science Jobs in Pawtucket, RI (NOW HIRING)

Bcbsri

Senior Data Visualization Analyst

Providence, RI · On-site +1

$93K - $140K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Bachelor's degree in DataAnalytics, Information Systems, Computer Science, or a related field, or ...

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See Pawtucket, RI salary details

$22.6K

$100.6K

$191.9K

How much do remote data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data science in Pawtucket, RI is $100,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,951.00 and $139,499.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Pawtucket, RI?

The most popular types of Data Science jobs in Pawtucket, RI are:

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For Remote Data Science jobs in Pawtucket, RI, the most frequently searched job titles are:

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The top searched job categories for Remote Data Science jobs in Pawtucket, RI are:

What cities near Pawtucket, RI are hiring for Remote Data Science jobs?

Cities near Pawtucket, RI with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Pawtucket, RI as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $100,575 per year, or $48.4 per hour.

Data Governance Specialist (39035)

Neighborhood Health Plan of Rhode Island

Smithfield, RI • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Location- (Smithfield, RI) Hybrid or Remote

The Data Governance Specialist plays a pivotal role in ensuring the integrity, quality, and security of organizational data assets. This position will collaborate with various teams across the organization to establish and enforce data governance policies, standards, and procedures. Responsibilities include identifying data quality issues, implementing data governance frameworks, and driving initiatives to improve data management practices. This role requires a strong understanding of data governance principles, excellent analytical skills, and the ability to communicate effectively with stakeholders at all levels.

Duties and Responsibilities:

Responsibilities include, but are not limited to:   

  • Design, implement, and maintain data governance frameworks, policies, and procedures to ensure compliance with regulatory requirements and organizational standards.
  • Monitor and assess data quality issues, establish data quality metrics, and develop strategies to improve data accuracy, completeness, and consistency.
  • Classify data assets based on sensitivity and criticality, establish metadata standards, and implement metadata management processes to enhance data discoverability and usability.
  • Collaborate with cross-functional teams, including IT, legal, compliance, and business units, to define data governance requirements, resolve data-related issues, and promote a culture of data stewardship.
  • Ensure compliance with data privacy regulations (e.g., HIPAA) by implementing data access controls, encryption mechanisms, and data anonymization techniques to protect sensitive information.
  • Evaluate, select, and implement data governance tools and technologies to support data governance initiatives, such as data cataloging, data lineage, and data quality monitoring.
  • Generate and distribute regular reports on data governance activities, including data quality assessments, compliance audits, and remediation efforts, to senior management and stakeholders.
  • Identify opportunities for process improvement, automation, and optimization of data governance workflows to enhance efficiency and effectiveness.
  • Other duties as assigned by Manager
  • Corporate Compliance Responsibility - As an essential function, responsible for complying with Neighborhood’s Corporate Compliance Program, Standards of Business Conduct, applicable contracts, laws, rules and regulations, policies, and procedures as it applies to individual job duties, the department, and the Company. This position must exercise due diligence to prevent, detect, and report unlawful and/or unethical conduct by fellow co-workers, professional affiliates and/or agents.

Qualifications

Required:

  • Bachelor’s degree in computer science, information technology, data management, or a related study, or equivalent combination of education and relevant work experience
  • Minimum of three (3) years of experience in data governance, data management, or related fields, with a deep understanding of data governance principles, practices, and methodologies
  • Strong analytical skills with the ability to analyze complex data sets, identify trends, and recommend solutions to improve data quality and governance
  • Proficiency in data governance tools and technologies, such as data cataloging tools, metadata management platforms, and data quality tools (e.g., Spirion, MS Purview)
  • Excellent communication skills with the ability to effectively collaborate with stakeholders at all levels, translate technical concepts into business terms, and influence decision-making processes
  • Knowledge of data privacy regulations (e.g., HIPAA) and experience implementing data privacy and security controls
  • Excellent communication skills
  • Strong attention to detail, organizational skills, analytical and problem-solving skills and ability to manage multiple priorities in a fast-paced environment

Preferred:

  • Experience working in regulated industries (e.g., healthcare) with a focus on data governance and compliance.
  • Familiarity with data management best practices, data modeling techniques, and data architecture principles.

   Neighborhood Health Plan of Rhode Island is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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