Data & Analytics Jobs in Montreal, Canada (Now Hiring) — 1,683 open — Page 65
TailorCare
Director, AI - Decision Intelligence
Montreal, Quebec, Canada · Remote OK
Senior+
About TailorCare TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a profoundly personal, evidence-based approach to improving patient outcomes for joint, back, and muscle …
Skills: Applied Machine Learning, Production ML Engineering, Python, SQL, Databricks
About Behavox Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the bu…
Don't skip a beat, apply to JAM Industries! JAM, making the world sound better, one brand at a time! Do these words sound like music to your ears? Since 1972, JAM has grown to be one of the largest distributors of consum…
Skills: Windows Server, Active Directory, Microsoft Azure, DNS, DHCP
Join a diverse and talented team For years now, we’ve been designing lingerie and swimwear for everyday living. Why do we do what we do? Because we want women around the world to look and feel their best! Join our …
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Microsoft Fabric, Azure Data Lake Storage, Azure Synapse, Lakehouse Architecture, Medallion Pattern
Consultant Conversion - Lead Software Eng : Job Level - Vice President
Montreal, Quebec, Canada · Hybrid
Senior+
We’re seeking someone to join our team as a Senior Software Engineering professional to build and evolve end-to-end data and reporting platforms that power critical balance sheet and regulatory reporting capabilities acr…
St. John's, Newfoundland and Labrador, Canada · Hybrid
$94k–$115k/yr
Senior$2.2B raised
Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times. Our employee promise represents Intact’s commitment to you in exc…
Skills: Financial Analysis, Budgeting, Forecasting, Variance Analysis, Microsoft Excel
Temporary position for 12 months. Should the temporary position become permanent, the selected candidate may have the opportunity to obtain the position on a permanent basis. As a product administration technician, you p…
Skills: Administrative Support, Data Processing, Technical Analysis, Report Design, Problem Solving
Partenaire d’affaire Principal, Services numériques RH/SIRH - Senior HR Digital Services/HRIS Business Partner
Montreal, Quebec, Canada · On-site
Senior
Vue d'ensemble Créez de la valeur chez TC Transcontinental. TC Transcontinental fait bien les choses, et c’est grâce à l’expertise de son équipe. Nous sommes moteurs d'innovation depuis 1976. Fondée il y a 50 ans et fort…
Skills: HRIS Analysis, Business Analysis, Project Management, Functional Requirements Documentation, HR Process Optimization
Partenaire d’affaire Principal, Services numériques RH/SIRH - Senior HR Digital Services/HRIS Business Partner
Montreal, Quebec, Canada · On-site
Senior
Overview Create value at TC Transcontinental. At TC Transcontinental, we've got it made, and that's because of the expertise of our team. We have been driving innovation since 1976. Founded 50 years ago and 4,000 employe…
Skills: HRIS, Functional Analysis, Business Analysis, Process Improvement, HR Transformation
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Automotive glass technology is helping transform how we experience the road. At Belron Canada, the home office of Speedy Glass, Lebeau vitres d’auto and Vanfax we take this seriously, which is why we invest tirelessly on…
Skills: Pricing Management, Commercial Analysis, Team Leadership, Strategic Negotiation, Data Analysis
Primary Job Posting Location: Lachine, Quebec Canada Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global …
Skills: Data Entry, Microsoft Word, Microsoft Excel, Microsoft Outlook, Bilingualism
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Microsoft Fabric, Azure Data Lake Storage, Azure Synapse, Lakehouse Architecture, Medallion Pattern
Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), …
Skills: Statistics, Data Analysis, Quantitative Methods, University Teaching, Business Analytics
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Microsoft Fabric, Azure Data Lake Storage, Azure Synapse, Lakehouse Architecture, Medallion Pattern
The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to …
⠀ Behind every success is a team of dedicated experts driving us forward. From HR professionals who shape our culture, to IT innovators driving technological advancements, Finance leaders ensuring our growth, Communicato…
We are banking at another level. Choosing BDC as your employer means working in a healthy, inclusive, and skilled workplace that puts forward the best conditions to bring together unique teams where employees are empower…
Skills: Data Governance, AI Governance, Data Management, Stakeholder Management, Change Management
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Full-time
postgraduate degree
Medical Insurance, Dental Insurance, Vision Insurance, Life Insurance, Disability Insurance, Wellness Resources
Posted 37d ago
~40 hrs/week
Remote in Montreal, Quebec, Canada, Nashville, Tennessee, United States
Responsibilities
Lead a team of data scientists and ML engineers to translate data into clinical and financial decisions. Accountable for the strategy, delivery, and technical quality of ML systems that drive patient engagement and surgical avoidance.
Requirements
Requires a Master's or PhD in a quantitative field and a proven track record of shipping production ML systems that impact business metrics. Must have experience building and growing high-performing technical teams and managing the full ML lifecycle.
Full job description
About TailorCare
TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a profoundly personal, evidence-based approach to improving patient outcomes for joint, back, and muscle conditions. By carefully assessing patients' symptoms, health histories, preferences, and goals with predictive data and the latest evidence-based guidelines, we help patients choose and navigate the most effective treatment pathway for them every step of the way.
TailorCare values the experiences and perspectives of individuals from all backgrounds. We are a highly collaborative, curious, and determined team passionate about scaling a high-growth start-up to improve the lives of those in pain. TailorCare is a remote-first company with our corporate office located in Nashville. This is a fully remote role.
About the Role
You will lead the team that turns TailorCare’s data into decisions: who we reach, how we target outreach, which care pathway we recommend, and how we forecast clinical and financial outcomes. This is the ML and decisioning core of the company. The models your team ships directly drive patient engagement, surgical avoidance, and partner savings.
TailorCare is growing fast. We are adding payers and markets quickly, and the systems and team you own have to scale with that pace. We need a leader who can deliver against near-term launch commitments while building for an order of magnitude more volume, grow and level a team through that change, and stay effective when priorities shift underneath them. Comfort with ambiguity and a bias toward execution matter as much as technical depth here.
This is a player-coach leadership role. Our teams own and drive outcomes, not task lists. You will be accountable for results, with the latitude and the obligation to decide how your team gets there. You will own the team strategy and delivery, set the technical bar, and stay close enough to the work to make architecture and modeling calls yourself.
Primary Responsibilities
Lead a team of outcome-driven data scientists and ML engineers, with direct accountability for delivery, technical quality, and growth.
Drive cross-functional partnership with Medical Economics, Clinical Operations, Product, and the Data & Intelligence Foundation team.
Own the interface between modeling work and the platform and infrastructure it runs on.
Make build-versus-buy and architecture calls, set the technical bar, and stay hands-on enough to make modeling decisions yourself.
Other duties as assigned
Qualifications
Master’s or PhD in a quantitative field (computer science, statistics, machine learning, operations research, applied mathematics, economics, or a closely related discipline). This is a requirement for the role; a PhD with applied, production-oriented research is a strong plus.
A demonstrable history of ML systems you shipped to production that moved a business or clinical metric, with the specifics of what you built, what changed, and how it was measured.
Evidence of delivering against hard external deadlines and managing data-dependency risk without slipping quality.
A record of building and growing high-performing technical teams, including hiring, leveling, and developing data scientists and ML engineers.
Experience owning a model portfolio across its full lifecycle, retiring or refactoring models that no longer earn their place.
Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events.
Preferred qualifications:
Healthcare, payer, or value-based care experience, and familiarity with HIPAA-regulated data.
Experience translating actuarial or medical-economics concepts into model features and targets.
Published or peer-reviewed work in applied ML, forecasting, or causal inference.
Skills
Deep applied ML: supervised learning on tabular and structured data, gradient-boosted trees (XGBoost, LightGBM), feature engineering, calibration, and rigorous offline and online evaluation.
Production ML engineering: model packaging, deployment, monitoring, drift detection, and retraining pipelines. You own model quality in production, not just in a notebook.
Strong software engineering fundamentals: Python, SQL, version control, testing, and code review standards you can set and enforce.
Modern data and ML platform fluency: Databricks, dbt, and AWS (S3, Postgres, DynamoDB). Comfortable making build-versus-buy and architecture calls.
Experimentation and causal rigor: A/B testing, uplift modeling, and the judgment to distinguish correlation from decision-relevant signals.
Sound judgment on where newer methods (LLMs, agents, feature augmentation from external signals) add measured lift versus where they add cost and risk.
You lead with the recommendation and state risks plainly, escalate risk early, and decide fast. Communication is concise and structured.
What's In It For You
Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact.
Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville.
Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge.
Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets!
Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution.
Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching.
Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day.
TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.
How many Data & Analytics jobs are open in Montreal, Canada right now?
There are currently 1,683 open data & analytics positions in Montreal, Canada listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Montreal, Canada?
Companies currently hiring include Desjardins, Ubisoft, Air Canada Vacations, EY, Intact, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Montreal, Canada?
Yes — 1130 of the 1683 open data & analytics positions offer remote or hybrid work (123 remote, 1007 hybrid).
How do I apply for Data & Analytics jobs in Montreal, Canada?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.