Canada
Unity Technologies
TobogganLabs
Data Scientist - Data Scientist
Canada
Montreal, Quebec, Canada
Python
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About Us
Data Scientist
Toboggan Labs is a boutique consultancy building at the intersection of AI and healthcare. We solve challenging human problems by applying cutting-edge technology and domain understanding.
About the role
We’re seeking a talented Data Scientist to join our team.
About you
We are seeking a seasoned data scientist who combines mathematical rigor with a sharp business sense and a passion for solving real-world problems. You should be just as comfortable designing a robust experiment or validating a statistical model as you are presenting actionable insights to customers and stakeholders.
We value candidates who treat data science as a scientific practice — where reproducibility, sound methodology, and intellectual honesty matter as much as model performance. While we are seeking a candidate coming from a data science and applied mathematics background, we expect you to operate in an interdisciplinary context, collaborating with software engineers, product designers, and domain experts. Candidates with additional experience in software development and architecture will be strongly valued.
Toboggan Labs values the diversity of the people it hires and serves. For us, diversity means creating a workplace where everyone's differences are recognized, appreciated, respected, and taken into account in order to develop and leverage the talents and strengths of each person.
Data Scientist
About Us
Toboggan Labs is a boutique consultancy building at the intersection of AI and healthcare. We solve challenging human problems by applying cutting-edge technology and domain understanding.
About the role
We’re seeking a talented Data Scientist to join our team.
About you
We are seeking a seasoned data scientist who combines mathematical rigor with a sharp business sense and a passion for solving real-world problems. You should be just as comfortable designing a robust experiment or validating a statistical model as you are presenting actionable insights to customers and stakeholders.
We value candidates who treat data science as a scientific practice — where reproducibility, sound methodology, and intellectual honesty matter as much as model performance. While we are seeking a candidate coming from a data science and applied mathematics background, we expect you to operate in an interdisciplinary context, collaborating with software engineers, product designers, and domain experts. Candidates with additional experience in software development and architecture will be strongly valued.
Toboggan Labs values the diversity of the people it hires and serves. Diversity, for us, means fostering a workplace in which a person's differences are recognized, appreciated, respected and responded to in ways that fully develop and utilize their talents and strengths.
Your daily responsibilities
As a Data Scientist you will collaborate with a multidisciplinary team of engineers and scientists to conduct high-impact research in artificial intelligence and machine learning. Your work will contribute directly to the development of advanced algorithms, models, and systems that drive our technology forward.
- Model development, integration and deployment: Design, integrate, train and optimize machine learning or generative AI models to meet client needs, including feature engineering and performance evaluation.
- Data analysis and preparation: Explore client data to identify patterns and opportunities. Clean and structure data in collaboration with data engineers.
- Technical communication with clients: Translate business requirements into technical solutions. Present results and explain models to non-technical stakeholders.
- Technology watch and compliance: Stay current on ML/AI advances and healthcare sector regulatory requirements (HIPAA, Law 25, GDPR).
- Documentation and reproducibility: Document approaches and results to ensure traceability and facilitate knowledge transfer.
As a Data Scientist you will collaborate with a multidisciplinary team of engineers and scientists to conduct high-impact research in artificial intelligence and machine learning. Your work will contribute directly to the development of advanced algorithms, models, and systems that drive our technology forward.
Your work will consist of
- Model development, integration and deployment: Design, integrate, train and optimize machine learning or generative AI models to meet client needs, including feature engineering and performance evaluation.
- Data analysis and preparation: Explore client data to identify patterns and opportunities. Clean and structure data in collaboration with data engineers.
- Technical communication with clients: Translate business requirements into technical solutions. Present results and explain models to non-technical stakeholders.
- Technology watch and compliance: Stay current on ML/AI advances and healthcare sector regulatory requirements (HIPAA, Bill 25, GDPR).
- Documentation and reproducibility: Document approaches and results to ensure traceability and facilitate knowledge transfer.
Note that while we specialize in healthcare and regulated industries, not all our projects are in these fields, so you may work across different domains from time to time.
All of our job postings describe a bit of a unicorn. If you’re kind of a “narwhal,” please apply anyway! You don’t need to meet all the requirements, nor the bonus criteria. While experience and skills are important, growth potential and attitude are equally important. We are generally flexible regarding levels or can guide you toward a more appropriate opening when it becomes available.
Note that while we specialize in healthcare and regulated industries, not all our projects are in these fields, so you may work across different domains from time to time.
All of our job postings describe a bit of a unicorn. If you’re kind of a “narwhal,” please apply anyway. You don’t need to meet all the requirements, let alone the bonus criteria. While experience and skill sets are valuable, growth potential and attitudes are equally important. We are usually flexible on levels or can advise you when a more relevant posting opens.
Minimum requirements
We encourage you to apply if you:
- Have over 5 years of professional experience.
- Have experience with Python and cloud computing platforms.
- Have a solid understanding of machine learning algorithms and deep learning, more specifically generative AI models.
- Have experience in designing and deploying machine learning pipelines using cloud technologies.
- Have a good knowledge of distributed computing environments and big data technologies.
- Master software development best practices as well as version control systems (e.g., Git).
- Hold a Master's degree in AI or a field related to AI.
We want you to apply if you:
- Have 5+ years of professional experience.
- Have experience with Python, and Cloud Computing Platforms.
- Have a solid understanding of machine learning algorithms and deep learning, and more specifically generative AI models.
- Have experience building and deploying machine learning pipelines with cloud technologies.
- Have familiarity with distributed computing and big data technologies.
- Understand software development best practices and version control systems (e.g., Git).
- Have a Master’s Degree in an AI-related discipline
- Have worked in client-facing roles such as consulting.
Additional assets
- Have experience in client-facing roles such as consulting or even product/project management.
- Have worked in the healthcare sector or other highly regulated industries.
Bonus points if you
- Have experience in client-facing roles such as consulting or product/project management.
- Have worked in the healthcare sector or other highly regulated industries.
What we offer
We are a remote-first company with office space in Montreal. We prefer to hire in Quebec, but we are open to candidates anywhere in Canada within the EST ±2 time zones.
In addition
- Home office and technology budget;
- Annual professional development budget;
- RRSP with employer contribution after 1 year;
From day one
- Health and dental insurance paid at 100% by the employer, including an annual amount for complementary care (acupuncture, osteopathy, massage therapy, naturopathy, psychology, etc.);
- Life insurance and short- and long-term disability insurance;
- Parental leave top-up (8 weeks), available to employees with more than one year of tenure, regardless of the path to parenthood.
What we offer
We are a remote-first company with office space in Montreal. We prefer to hire in Quebec, but we are open to candidates anywhere in the EST±2 time zone in Canada.
In addition
- Home office/technology budget;
- Yearly professional development budget;
- Company matching RRSP after 1 year;
From Day 1
- 100% employer-paid health & dental insurance including a yearly bank of coverage for complementary medicine (Acupuncture, osteopathy, massage therapy, naturopathy, psychology, etc.);
- Life, long & short-term disability insurance;
- Parental leave top-up (8 weeks), available to employees with 1+ year of tenure, regardless of path to parenthood.
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