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Senior Data Scientist
Plusgrade
Montréal, CAN
Full-time
Senior
Hybrid
Discovered 3 days ago
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Role Overview
You will turn complex data from multiple products, partners, and loyalty members into better decisions, building models that directly influence offers, pricing, and customer targeting.
You will own the work from problem formulation through production monitoring, helping move data science toward more scalable, product-focused solutions.
Key Skills for This Role
awsnumpypandaspythonpytorchsagemaker
Full Job Posting
What You Bring
- You have designed, developed, and deployed supervised and unsupervised machine learning models for real-world business problems, from problem formulation through production monitoring.
- You bring strong foundations in statistical modeling, predictive analytics, and optimization, along with strong Python skills and experience with tools such as scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
- You can query and transform large datasets with SQL, create meaningful features, and implement ML solutions in the cloud using AWS SageMaker or an equivalent platform.
- You work independently through ambiguity, explain complex solutions to technical and non-technical audiences, collaborate across functions, mentor other data scientists, and connect your work to measurable commercial impact.
- You have demonstrated experience using AI tools to accelerate research, development, and problem-solving.
- Why Plusgrade
- Travel is about the moments that make a journey feel personal. At Plusgrade, we build the technology that makes those moments possible, from upgrade offers and loyalty experiences to revenue tools used by 575+ airline, hospitality, cruise, rail, and financial services partners worldwide.
- The work is global, complex, and rewarding. You will solve meaningful problems, take ownership from idea to outcome, and work alongside people who are smart, curious, and committed to doing great work.
- We also give our teams access to AI tools and the encouragement to use them thoughtfully, to move faster, explore ideas, and build better ways of working.
- We trust our teams to do their best work. That means autonomy, flexibility, and room to grow.
- Come help us shape the future of travel.
- What You'll Love About Us
- 🏦 RRSP Matching · 🏥 Comprehensive Health Plans · 📅 Flexible Paid Time Off · ✈️ Travel Experience Perk · 🧘 Annual Wellness Perk · 🚆 Commuter Perk · 🌅 Tenure-Based Work From Anywhere Program · 🍼 Parental Leave Top Up · 🌍 Adventure Pass · 🎓 Learning Allowance
- Our Process
- We believe every candidate deserves a fair, transparent experience, so regardless of outcome, everyone gets feedback.
- Our process: Recruiter call → Hiring Manager interview → Final interview.
- Plusgrade is an equal-opportunity employer committed to accessible recruitment. We welcome applications from all qualified individuals regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, or any other category protected by law. Accommodation is available upon request. We may use AI-assisted tools to help screen and assess applicants for this role. This posting is for an existing vacancy.
Qualifications
- You have designed, developed, and deployed supervised and unsupervised machine learning models for real-world business problems, from problem formulation through production monitoring.
- You bring strong foundations in statistical modeling, predictive analytics, and optimization, along with strong Python skills and experience with tools such as scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
- You can query and transform large datasets with SQL, create meaningful features, and implement ML solutions in the cloud using AWS SageMaker or an equivalent platform.
- You work independently through ambiguity, explain complex solutions to technical and non-technical audiences, collaborate across functions, mentor other data scientists, and connect your work to measurable commercial impact.
- You have demonstrated experience using AI tools to accelerate research, development, and problem-solving.
- Why Plusgrade
- Travel is about the moments that make a journey feel personal. At Plusgrade, we build the technology that makes those moments possible, from upgrade offers and loyalty experiences to revenue tools used by 575+ airline, hospitality, cruise, rail, and financial services partners worldwide.
- The work is global, complex, and rewarding. You will solve meaningful problems, take ownership from idea to outcome, and work alongside people who are smart, curious, and committed to doing great work.
- We also give our teams access to AI tools and the encouragement to use them thoughtfully, to move faster, explore ideas, and build better ways of working.
- We trust our teams to do their best work. That means autonomy, flexibility, and room to grow.
- Come help us shape the future of travel.
- What You'll Love About Us
- 🏦 RRSP Matching · 🏥 Comprehensive Health Plans · 📅 Flexible Paid Time Off · ✈️ Travel Experience Perk · 🧘 Annual Wellness Perk · 🚆 Commuter Perk · 🌅 Tenure-Based Work From Anywhere Program · 🍼 Parental Leave Top Up · 🌍 Adventure Pass · 🎓 Learning Allowance
- Our Process
- We believe every candidate deserves a fair, transparent experience, so regardless of outcome, everyone gets feedback.
- Our process: Recruiter call → Hiring Manager interview → Final interview.
- Plusgrade is an equal-opportunity employer committed to accessible recruitment. We welcome applications from all qualified individuals regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, or any other category protected by law. Accommodation is available upon request. We may use AI-assisted tools to help screen and assess applicants for this role. This posting is for an existing vacancy.
About Plusgrade
Software & SaaS866 employeesFounded 2009
Plusgrade is a travel-software provider helping airlines, hotels, cruise lines, railways, and financial firms generate ancillary revenue.
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