4 Data Scientists jobs in Québec

Job Description

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

• 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
• Strong analytical skills working with unstructured data sets
• Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
• Strong experience with big data services like Spark, Kafka, Rabbit
• Experience working with Startups are considered a bonus
• Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* 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.

SENIOR DATA SCIENTIST – OMNI-CHANNEL ANALYTICS

REMOTE (CANADA-BASED)

C$100,000 – C$150,000 + 18% BONUS + BENEFITS

Are you passionate about applying data science to optimise digital and healthcare marketing strategies? This global pharma leader is investing heavily in its omnichannel analytics capabilities, and you could be at the centre of it.

This role sits within a fast-growing analytics function that is shaping how the company communicates with patients and healthcare professionals – ensuring the right message reaches the right audience, through the right channel, at the right time.

THE ROLE

As a Senior Data Scientist, you’ll partner closely with brand and omnichannel teams to support decision-making through advanced analytics and modelling. Your responsibilities will include:

• Developing predictive models such as next-best-action, response modelling, uplift, and segmentation
• Designing and analysing A/B tests and attribution frameworks to assess promotional effectiveness
• Wrangling large, complex datasets from multiple sources to build clean modelling datasets
• Collaborating with cross-functional teams including Marketing, Media Agencies, and Data Engineering to ensure data quality, consistency, and insight delivery
• Generating insights to optimise campaign design and HCP targeting strategies

YOUR SKILLS AND EXPERIENCE

To be successful in this role, you’ll need:

• Strong experience in data science and predictive modelling (classification, regression, uplift, etc.)
• Proven ability to work with messy data and derive clean, interpretable features (SQL and Python are essential; R is a bonus)
• A background in omnichannel marketing, media analytics, or digital healthcare preferred
• Experience with campaign measurement, media mix modelling, or HCP segmentation highly desirable
• MSc or PhD in a STEM, statistics, or data-related discipline

BENEFITS

• Remote-first role (Canada-based)
• Competitive base salary and annual bonus
• Health, dental, and vision coverage
• Company-matched retirement plans
• Generous PTO, including end-of-year shutdown
• Long-Term Incentive Plan (LTIP) eligibility

HOW TO APPLY

Interested in applying your analytics skills to meaningful healthcare challenges? Click below to apply.

Lead Data Scientist - Fintech

$200,000–$225,000 + bonus + benefits

Remote

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization's innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a tech-lead, model building / development–focused role—ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You'll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.

What You’ll Bring

• 5+ years of machine learning and NLP modeling experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Technical leadership experience required; direct people management a plus
• Experience with LLMs and agents for financial services, legal or compliance
• Background in: NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on NLP products
• Experience delivering LLM-based solutions
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retreival Augmented Generation | Agents | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval