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Associate Data Scientist Jobs in Quebec (NOW HIRING)

Altasciences

Associate Scientist, ADA

Laval, QC · On-site

About The Role The Associate Scientist, ADA is the right hand help for the senior scientist. As ... Tabulate and perform final data batch review by performing multi-batch trend analysis, completing ...

CellCarta

Scientist, R&D Proteomics

Montreal, QC · On-site

Train Research Associates on sample preparation and analytical techniques * Provide scientific recommendations to improve data quality and platform performance * Monitor data quality and take ...

Charles River Laboratories, Inc.

CA$75K/yr

Job Overview As an Associate for our Pharmacokinetics team at the Senneville location, you will be ... data, analysis and reports to ensure accuracy and compliance; * Maintain active scientific ...

Charles River Laboratories, Inc.

Review and approve raw data; * Notify the Senior Director, Laboratory Sciences and/or the Associate Scientific Director of technical problems or deviations from budgeted costs as soon as they become ...

Scientific Games

support aux presses

Montreal, QC

We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary ...

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All JobsAssociate Data Scientist JobsAssociate Data Scientist Jobs in Quebec

Associate Data Scientist information

See Quebec salary details

$68.5K

$102.4K

$140K

How much do associate data scientist jobs pay per year?

As of Jun 16, 2026, the average yearly pay for associate data scientist in Quebec is $102,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an Associate Data Scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What is the role of an associate data scientist?

An associate data scientist analyzes data to identify patterns and insights that support business decisions. They typically work with tools like Python, R, or SQL and assist in developing models, reports, and visualizations under the guidance of senior data scientists. The role often requires strong analytical skills, knowledge of statistics, and familiarity with data management.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What can I do with an associate's degree in data science?

An associate's degree in data science prepares individuals for entry-level roles such as data technician, data analyst, or junior data scientist. These positions involve working with data collection, cleaning, and basic analysis using tools like Excel, SQL, or Python. Further certifications or experience can help advance to more specialized or higher-level roles.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

Is 40 too late for data science?

Associate Data Scientists and other data science roles do not have strict age limits, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses and certifications regardless of age.
More about Associate Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Quebec? The most popular types of Data Scientist jobs in Quebec are:
What are popular job titles related to Associate Data Scientist jobs in Quebec? For Associate Data Scientist jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Associate Data Scientist jobs in Quebec look for? The top searched job categories for Associate Data Scientist jobs in Quebec are:
What cities in Quebec are hiring for Associate Data Scientist jobs? Cities in Quebec with the most Associate Data Scientist job openings:
What are popular job titles related to Associate Data Scientist jobs in QC? For Associate Data Scientist jobs in QC, the most frequently searched job titles are:
Associate Data Scientist jobs near you

Portuguese - Fluent Speakers - AI Training - Canada

Prolific Academic Ltd

Montreal, QC • Remote

CA$30/hr

Full-time

Posted 21 days ago

Be an early applicant

Job description

Portuguese - Fluent Speakers - AI Training - CanadaAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Advanced Portuguese Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Advanced language skills and verifiable experience as being fluent in Portuguese.
  • A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
  • Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
  • A reliable and fast internet connection and access to a computer
  • A willingness to self-declare your earnings, as our participants are self-employed
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • Completing AI training tasks such as analyzing, editing, and writing in Portuguese
  • Judging the performance of AI in performingPortuguese prompts
  • Improving cutting-edge AI models
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.