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Computer Science Jobs in Pawtucket, RI (NOW HIRING)

Openkyber

Sr. AI Solutions Engineer

Woonsocket, RI · On-site

$53 - $68.25/hr

GitHub Actions Qualifications Bachelor's degree in Computer Science, Engineering, or related field. 10+ years of experience in IT systems and AI/ML solution delivery. Proven track record in designing ...

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$55K

$80.9K

$95.4K

How much do computer science jobs pay per year?

As of May 31, 2026, the average yearly pay for computer science in Pawtucket, RI is $80,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $91,000.00 per year, depending on experience, location, and employer.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a Computer Science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

More about Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Pawtucket, RI? The most popular types of Computer Science jobs in Pawtucket, RI are:
What are popular job titles related to Computer Science jobs in Pawtucket, RI? For Computer Science jobs in Pawtucket, RI, the most frequently searched job titles are:
What job categories do people searching Computer Science jobs in Pawtucket, RI look for? The top searched job categories for Computer Science jobs in Pawtucket, RI are:
What cities near Pawtucket, RI are hiring for Computer Science jobs? Cities near Pawtucket, RI with the most Computer Science job openings:
Computer Science jobs near you
Infographic showing various Computer Science job openings in Pawtucket, RI as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 18% Part Time, and 8% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $80,872 per year, or $38.9 per hour.
Data Scientist (Hybrid on-site)

Data Scientist (Hybrid on-site)

Peak Technologies

Franklin, MA • On-site

Full-time

Posted 22 hours ago

Job description

For over 35 years, Peak Technologies has been at the forefront of providing end-to-end enterprise mobility, managed services, printing and mobile data capture solutions for performance-driven organizations focused on the optimization of supply chain and field-based business processes.
  • Job Title: Data Scientist
  • Location: Franklin, MA
  • Schedule: Mon-Fri 8-5/9-6, hybrid on-site Tu/Th

JOB SUMMARY & SCOPE
Peak Technologies is seeking a motivated and analytical Data Scientist to help advance our data-driven strategy and support the development of intelligent automation, analytics, and AI solutions across the business.
In this role, you will analyze large datasets, build predictive and generative models, and translate data into actionable insights that enhance operational efficiency and customer outcomes. You will also have opportunities to explore emerging technologies such as Large Language Models (LLMs), Large Vision Models (LVMs), and other machine learning and computer vision techniques to bridge the gap between research and business application.
This position requires strong problem-solving skills, solid technical proficiency, and a genuine passion for using data to drive measurable impact in a fast-paced, collaborative environment.
KEY ACCOUNTABILITIES
  • Collect, clean, and preprocess large datasets from multiple sources while ensuring data accuracy, consistency, and integrity.
  • Apply statistical methods, hypothesis testing, and exploratory data analysis to identify trends and opportunities.
  • Develop and deploy machine learning and predictive models to support data-driven decision-making and product innovation.
  • Research, prototype, and evaluate AI and ML models, including LLMs, LVMs, and other cutting-edge algorithms.
  • Collaborate with engineering and data annotation teams to improve data pipelines, tagging accuracy, and supervised learning processes.
  • Create clear, impactful visualizations, dashboards, and reports for technical and non-technical audiences.
  • Design and interpret A/B and multivariate tests to measure the impact of business changes or feature deployments.
  • Maintain documentation for data sources, transformation logic, and model development processes.
  • Participate in code reviews, model evaluations, and team knowledge-sharing sessions to promote best practices.
  • Ensure compliance with data governance, privacy, and security standards across all data projects.

EDUCATION + EXPERIENCE + KEY TRAITS
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Artificial Intelligence, or a related field.
  • Minimum 1 year of experience in a data science, applied AI, or analytical role (internship or postgraduate research experience may qualify).
  • Proficiency in Python, R, and SQL, including experience with frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Strong understanding of statistical modeling, data visualization, and machine learning evaluation techniques.
  • Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure) and tools such as Vertex AI is preferred.
  • Excellent communication skills with the ability to explain complex concepts to diverse audiences.
  • Detail-oriented, proactive, and comfortable working collaboratively across cross-functional teams.
  • Passionate about innovation, continuous learning, and contributing to a data-driven culture at Peak Technologies.

BONUS EXPERIENCE (Preferred but Not Required)
  • Hands-on experience with Natural Language Processing (NLP) or Computer Vision tasks (e.g., text classification, image tagging, or sentiment analysis).
  • Exposure to data warehousing, ETL processes, or data engineering workflows.
  • Contributions to open-source projects or research publications in data science or artificial intelligence.

TYPICAL PERFORMANCE TARGETS
  • SERVICE DELIVERY: Sustained, measured excellence in project & process delivery
  • COST TO SERVE: Sustained, measured excellence in delivery efficiency with expected continuous improvement
  • INNOVATION: Step changed delivery in safety, quality, and/or cost

LANGUAGE SKILLS
  • Primary language used in daily operations is English. Additional primary company languages include Spanish, French, and Dutch.
  • Read and interpret documents, procedure manuals and various correspondence from both internal and external.
  • Speak effectively, both individually and before groups of both external customers and/or various levels of employees within the organization.

MATHEMATICAL SKILLS
  • Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.

REASONING ABILITY
  • Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

COMPUTER SKILLS
  • To perform this job successfully, an individual should have knowledge of Microsoft Office suite, Excel, and Word specifically. CRM skills required.

SUPERVISION
  • Role does not require supervision of direct and indirect reports.

DECISION MAKING + REASONING
  • Able to take accountability and responsibility for business target delivery and decision making.
  • Possess a unique blend of business and technical savvy, a big-picture vision, and the drive to make that vision a reality.

PHYSICAL REQUIREMENTS
Activity
Amount of Time
None
Under 1/3
1/3 to 2/3
Over 2/3
Stand
X
Walk
X
Sit
X
Use hands to finger, handle, or feel
X
Reach with hands and arms
X
Climb or balance
X
Stoop, kneel, crouch, or crawl
X
Talk or hear
X
Lift Up to 25lbs
X
Travel
X
Peak Technologies, Inc. is an Equal Opportunity Employer who fully and actively supports equal access for all people regardless of Race, Color, Religion, Gender, Age, National Origin, Veteran Status, Disability, Genetic Information or Testing, Family and Medical Leave, Sexual Orientation and Gender Identity or Expression.

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