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Data Science Jobs in Westerly, RI (NOW HIRING)

Jobtailor

Regulatory Data Steward - Team Lead

Groton, CT ยท On-site

$110 - $165/hr

Bachelor's or Master's degree in Life Sciences, Regulatory Affairs, Data Management, or related field. * 6+ years of experience in Regulatory Affairs or Regulatory Operations, with at least 3+ years ...

New

Thermo Fisher Scientific

IT Intern (Data-oriented)

Groton, CT

... Science, Digital Transformation ๋˜๋Š” ์œ ๊ด€ ์ „๊ณต์ž ์šฐ๋Œ€ * Excel, PowerPoint, Word ๋“ฑ ๊ธฐ๋ณธ ๋ฌธ์„œ ์ž‘์„ฑ ๋ฐ ๋ฐ์ดํ„ฐ ์ •๋ฆฌ ์—ญ๋Ÿ‰ ๋ณด์œ ์ž * Power BI ํ™œ์šฉ ๋Šฅ๋ ฅ์ž ์šฐ๋Œ€ * SQLD, ITIL ...

Kanak Elite Services Inc

AI Developer

Conantville, CT ยท On-site

Bachelor's degree in Computer Science, Data Science, Engineering or related field. * 3-5 years of experience in software or AI development. * Proficiency in Python and familiarity with ML frameworks ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Westerly, RI

Data Science information

See Westerly, RI salary details

$37.8K

$123.6K

$197.9K

How much do data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science in Westerly, RI is $123,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $137,000.00 per year, depending on experience, location, and employer.

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 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 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 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.

Is a data scientist in high demand?

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 jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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

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

What are popular job titles related to Data Science jobs in Westerly, RI?

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

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Westerly, RI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,638 per year, or $59.4 per hour.

Regulatory Data Steward - Team Lead

Jobtailor

Groton, CT โ€ข On-site

$110 - $165/hr

Other

Posted 2 days ago

New

Job description

Accountable for leading the accurate definition & recording of master data in alignment with data standards.
Execute & oversee application/registration creation.
Responsible for ensuring the accuracy, completeness, and consistency of data within the Veeva Vault RIM system by verifying and updating data.
Lead data remediation projects in alignment within current and emerging global standards.
Evaluate and approve data change requests, ensuring compliance with data governance policies.
Serve as a major source of innovative ideas seeking future efficiencies and effectiveness in maintaining product data.
Manage and/or support Data Coordinators, clarifying and providing awareness overviews of changed or new processes.
Evolve service based on strategic objectives โ€“ efficiency / quality drivers.

Requirements
  • Must have a bachelor's degree with at least 6+ years of experience; OR a master's degree with at least 5+ years of experience; OR a PhD with 1+ years of experience.
  • Bachelorโ€™s or Masterโ€™s degree in Life Sciences, Regulatory Affairs, Data Management, or related field.
  • 6+ years of experience in Regulatory Affairs or Regulatory Operations, with at least 3+ years in a data governance, data management, or data quality role.
  • Emerging people leader with proven experience managing colleagues and/or contractors within a matrix environment.
  • Strong understanding of global regulatory submission and compliance requirements.
  • Detailed understanding of regulatory system structures and how they are intended to enable regulatory business needs
  • Strong understanding of data governance principles and best practices, certification in data management or data governance.
  • Experience with master data management and data quality improvement.
  • Fluent in English.
Core Competencies

Demonstrates expertise in Regulatory Affairs and Data Management, with a strong focus on data governance principles and compliance requirements. Proven ability to lead data remediation projects and manage teams effectively within a matrix environment.

Highest-signal resume keywords
  • Regulatory Affairs Experience
  • Data Governance Principles
  • Master Data Management
  • Data Quality Improvement
  • Leadership in Matrix Environment
ATS Optimization Keywords Hard Skills
  • Data Management
  • Data Quality
  • Data Remediation
  • Data Change Requests
  • Regulatory Compliance
  • Data Standards
  • Data Verification
  • Data Recording
  • Regulatory System Structures
  • Data Governance Policies
Soft Skills
  • Innovative Thinking
  • Team Management
  • Process Awareness
Certifications & Qualifications
  • Certification in Data Management
  • Certification in Data Governance
Industry Keywords
  • Life Sciences
  • Regulatory Operations
  • Global Regulatory Submission
  • Data Governance
  • Data Quality Standards
Tools & Technologies
  • Veeva Vault RIM
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