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Data Science Jobs in Newfoundland and Labrador (NOW HIRING)

Data Scientist

Saint John's, NL ยท On-site

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Data Scientist

Saint John's, NL ยท On-site

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

... Science and/or practical experimentation) : * Good understanding and experience defining and ... Good understanding and experience working with industry data standards (OGC, WMO, etc.), common ...

Sensor Data analyst role shall use tools to analyze the data streamed or collected from the robot sensors that provide Photographs, LIDAR, IR, thermal, gas detection, acoustic and other sensor ...

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

Collaborate on research and support product and data science teams in running usability tests, interpreting funnels, and using those insights to iterate on your designs. * Take the winning patterns ...

Collaborate on research and support product and data science teams in running usability tests, interpreting funnels, and using those insights to iterate on your designs. * Take the winning patterns ...

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

Collaborate with data engineers, data scientists, and other stakeholders to support their workflows and optimize platform usage, including Power BI and dashboard administration. * Partner with cloud ...

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

This role partners closely with Global Oral Health R&D, Category, and Market teams to translate scientific ambition and consumer needs into scalable digital, data, and AI-enabled capabilities that ...

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

AWIPS Application Developer

Saint John's, NL ยท On-site

CA$89K - CA$118K/yr

Familiarity with structured scientific data formats such as GRIB, NetCDF, or similar. * Experience building or maintaining data ingestion pipelines (ETLstyle workflows). * Ability to work directly ...

Familiarity with structured scientific data formats such as GRIB, NetCDF, or similar. * Experience building or maintaining data ingestion pipelines (ETLstyle workflows). * Ability to work directly ...

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Showing results 1-20

Data Science information

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 Newfoundland and Labrador? The most popular types of Data Science jobs in Newfoundland and Labrador are:
Infographic showing various Data Science job openings in Newfoundland and Labrador as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 4% Hybrid, and 21% Remote job distribution.

Data Scientist

Targeted Talent

Saint John's, NL โ€ข On-site

$80K - $100K/yr

Full-time

Medical, Dental, PTO

Re-posted 24 days ago


Job description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg. Our client is a global enterprise company with a product that you've likely used.
The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

  • A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
  • 1-2 years' experience developing solutions and working with Python
  • Confident extracting and manipulating data from SQL and noSQL stores
  • Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

  • Competitive Salary
  • Individual performance bonus
  • Health and dental benefits
  • 3 weeks’ vacation
  • Relocation Package
* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

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About Targeted Talent

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Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA