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Data Science Jobs in Newfoundland and Labrador (NOW HIRING)

Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or equivalent ... Basic knowledge of database testing, including writing and executing SQL queries for data ...

Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or equivalent ... Basic knowledge of database testing, including writing and executing SQL queries for data ...

Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, or equivalent ... for data validation. • Experience performing ad-hoc manual testing to explore edge cases and ...

Sample Preparation Technician (General Labour)

Gander, NL

CA$21.39/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

When you join us, you'll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future. Sample Preparation Technician (General Labour) ...

As a team of engineers, architects, designers, scientists, creators and a community of ... Plan and execute field exploration programs focused on gathering data to support site investigation ...

Senior Frontend Developer (Remote)

Saint John's, NL · On-site

CA$85K - CA$110K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're not just managing data-we're securing people's futures, one innovative solution at a time. We ... Bachelor's degree in Computer Science or related field * 10+ years of battle-tested frontend ...

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Data Science information

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?

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 most commonly searched types of Data Science jobs in Newfoundland and Labrador?

The most popular types of Data Science jobs in Newfoundland and Labrador are:

What are popular job titles related to Data Science jobs in Newfoundland and Labrador?

For Data Science jobs in Newfoundland and Labrador, the most frequently searched job titles are:

Infographic showing various Data Science job openings in Newfoundland and Labrador as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.

QA Automation Engineer

Repairify

Saint John's, NL • On-site

Full-time

Posted 6 days ago


Job description

OverviewSummary/objectiveThe QA Automation Engineer reports to the Director of QA (or VP Software) and is responsible for driving the quality assurance efforts for our software products. In this role, they will design, develop, and maintain automated testing frameworks, ensuring robust coverage across web, mobile, API, and database layers. By integrating automated tests into our CI/CD pipelines, they will enable faster and more reliable software delivery.As a critical member of the QA team, you will collaborate with developers, product managers, and other stakeholders to interpret requirements, create test plans, and identify potential risks early in the development process

We expect you to make effective use of AI-assisted tooling to accelerate your work and broaden test coverage. This position offers the opportunity to contribute to continuous improvement initiatives, optimize testing processes, and help deliver high-quality products that exceed customer expectations.Essential functionsReasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.Create detailed, comprehensive, and well-structured test plans and test cases based on product requirements.Design, develop and maintain automated test scripts and frameworks.Integrate and maintain automated tests within CI/CD pipelines.Execute and analyze results from automated test cases, while documenting and reporting any defects.Collaborate with developers and QA engineers to identify, document and resolve software issues.Work closely with product and development teams to understand requirements and acceptance criteria.Perform manual testing when necessary, especially for exploratory and edge cases not covered by automation.Use AI-assisted tooling where it helps to improve the speed and depth of QA work.Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or equivalent professional experience. 1-3 year(s) of experience in software development or automated testing

Ability to interpret product requirements, user stories, and technical specifications to design comprehensive test plans and test cases. Familiarity with Agile methodologies and experience working in Scrum or Kanban teams. Comfort using AI-assisted development and testing tools (such as coding assistants or LLM-based tooling) as part of day-to-day work.

Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.Preferred Qualifications:Knowledge of software testing methodologies, best practices, and tools.Understanding of software development principles and the ability to apply them to testing processes.Proficiency with test automation tools and frameworks such as Selenium, Cypress, Appium, or Playwright.Familiarity with mobile testing tools such as Appium, Espresso, or XCUITest.Hands-on experience in API testing using tools like Postman, REST Assured, or SoapUI.Basic knowledge of database testing, including writing and executing SQL queries for data validation.Experience performing ad-hoc manual testing to explore edge cases and identify potential gaps in automated test coverage.Understanding of CI/CD tools and familiarity with DevOps practices.Repairify, IncHands-on experience using AI tools to support testing, such as generating or refining test cases, drafting automation scripts, or assisting with defect analysis, with good judgment about where AI adds value and where it doesn't.Excellent analytical and problem-solving skills with attention to detail.Supervisory responsibilitiesThis role has no supervisory responsibilitiesWork environmentAffirmative Action/EEO statementThe Company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other status protected under applicable federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.Employment Type: FULL_TIME