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Research Python Jobs in Quebec (NOW HIRING)

Tornatech Inc.

Ingnieur(e) R&D lectronique

Laval, QC · On-site

Joins-toi lquipe de dveloppement de Tornatech titre dIngnieur(e) R&D lectronique. Tu joueras un rle ... en Python; * Possder de lexprience avec des produits certifis ou dans un environnement o la ...

Hunter Bond

... moving them from research into robust, production-grade environments. The position requires a ... Minimum 6+ years of relevant experience with Python * Strong Computer Science fundamentals (degree ...

Jay Analytix

Quantative Developer

Montreal, QC · On-site

Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build ... Experience working with quantitative research or trading desks. * Familiarity with model validation ...

Jay Analytix

Quantative Developer

Montreal, QC · Hybrid

Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build ... Experience working with quantitative research or trading desks. * Familiarity with model validation ...

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All JobsResearch Python JobsResearch Python Jobs in Quebec

Research Python information

Is Research Python good for research?

Research Python is a specialized role that involves using Python programming skills to support research activities, such as data analysis, automation, and modeling. Proficiency in Python, along with knowledge of scientific libraries like NumPy or pandas, makes it a valuable skill for research projects. The role often requires strong problem-solving abilities and familiarity with research environments or datasets.

What is a Research Python developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Which research Python job is in demand?

Research Python roles in demand include data scientist, machine learning engineer, and AI researcher, often requiring strong programming skills, knowledge of libraries like NumPy and TensorFlow, and experience with data analysis. These positions are prevalent in industries such as technology, finance, and healthcare, with a focus on developing algorithms and models for data-driven insights.

What are the key skills and qualifications needed to thrive as a Research Python developer?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.
What are popular job titles related to Research Python jobs in Quebec? For Research Python jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Quebec look for? The top searched job categories for Research Python jobs in Quebec are:
What cities in Quebec are hiring for Research Python jobs? Cities in Quebec with the most Research Python job openings:
Research Python jobs near you
Infographic showing various Research Python job openings in Quebec as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Senior R&D Data Scientist

Triton Digital Canada Inc.

Montreal, QC • On-site

Full-time

PTO

Re-posted 23 days ago

Job description

We are looking for a Senior R&D Data Scientist to join our Data Science R&D team at Triton Digital. We are using data engineering, data analysis, data science methods and machine learning algorithms to develop innovative solutions for our advertising and audience measurement platforms for podcast and radio. We are analysing vast amounts of data to understand the listeners' interests in specific podcast shows and radio stations, as well as their listening behaviors across media types and time, to improve the way me measure audiences and target them with specific ads.
As a Senior R&D Data Scientist, you will report to the Director of Data Science and will work with the other members of the Data Science team as well as other teams at Triton Digital (including big data developers, POs, PMs) to develop and implement data driven innovative solutions into our advertising and measurement platforms for podcast and radio. Your knowledge and experience allow you to work efficiently from the early, and highly challenging stages of experimentation, all the way to obtaining full-scale data science products ready to be implemented in production through cross-functional collaboration. You will work in an Agile environment adapted to suit the needs of R&D work.
You will have the opportunity to work in an industry where creating pioneering solutions to address business challenges will be a part of your daily routine. In our ever-evolving industry, every project requires a collaborative and customized approach that can be transparently validated through extensive exploratory data analysis techniques and easily explained to technical and non-technical stakeholders. Therefore, if you are someone who likes to roll up their sleeves and do the work that needs to be done, who is a good communicator, an enthusiastic team player, who likes to think outside the box and embraces a good challenge this position is for you.
Qualifications
  • Minimum education requirement: BSc or MSc in computer science or a STEM field with courses in statistical analysis or other advanced data analysis disciplines.
  • Minimum 5 years of work experience in a business environment using Python, PySpark or Scala, with a minimum of 3 years worked as a main contributor to create, validate and help implement data-driven solutions in PySpark or Scala, where you used advanced data aggregation techniques, statistical methods and ML algorithms.
  • Proven track record of using judgment and decision skills to interpret results, to communicate, and to carry out R&D data science work in a result-driven manner.
  • Proven track record of using exploratory data analysis to understand the input data and the results, and to investigate problems to find the causes and create solutions.
  • Ability to work under pressure, learn continuously and pivot to correct the course of the R&D data science work.
  • Ability to focus on the problem and use creative approaches efficiently from the early stages of a project when there are more unknowns than knowns.
  • Ability to work both independently and collaboratively within the Data Science team and with cross-functional teams.
  • Strong communication and time management skills.
Responsibilities
  • Collaborate within the team and cross-functionally to help define the project stages and help select the best approaches at each stage.
  • Collaborate within the team to form hypothesis and plan the experimental work at each project stage.
  • Test and compare different methods and algorithms during the experimental project phases.
  • Produce high quality code in PySpark that is easily reviewed by others and easily incorporated into the project's data processing pipeline.
  • Produce methodologies that lead to explainable results. Select the most appropriate R&D methodology for solving the business problem at hand, given that black box algorithms might not be suitable most of the time.
  • Perform extensive data analyses on the input data at the beginning of a project to understand its issues, the value of the information that can be extracted from it, as well as its applicability to solve the problem at hand.
  • Innovate to create and validate variables and use them as input data to train machine learning models, create custom logic rules, or a combination of both.
  • Perform extensive data analyses on results throughout the course of a project to validate them, or to debug inaccuracies and create solutions to address them.
  • Iterate quickly by taking decisions based on results to validate or adjust the course of action for the subsequent analysis steps.
  • Prepare results dashboards and presentation materials to explain work progress and outcomes to decision makers, project stakeholders, and during sprint reviews or team meetings.
  • We work with data that presents us with multiple interesting challenges and interesting problems. You will maintain a strong focus on the work priority to solve the problem at hand.
  • Document methodologies and results in systems such as Confluence and Jira.
Triton Digital is an equal opportunity employer committed to fostering a diverse, equitable, and inclusive workplace where all employees are respected, supported, and enabled to perform at their highest potential.
Our benefits package includes
  • Fully remote position
  • 4 weeks of vacation + 5 paid personal days annually
  • Group insurance programs as of your first day, including access to telemedicine and an EAP
  • Collective RRSP with matching contribution of 4%
Employment Type: Full-Time

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