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Posted 16 days ago

Senior Data Scientist

@ Plusgrade Solutions Ltd.

Montréal, Quebec

HybridFull-time
Apply now
SIGNALS

Overview

Plusgrade Solutions Ltd. is hiring a Senior Data Scientist to research, design and deploy machine learning and optimization models for personalized offers, pricing and customer targeting. The role owns work from problem formulation through production monitoring and mentors other data scientists. Full-time permanent, with benefits including RRSP matching, health plans and flexible paid time off.

Responsibilities:

  • Design, develop and deploy machine learning and optimization models for offers, pricing and targeting
  • Build scalable solutions across products, partners and data environments
  • Design rigorous experiments and evaluate emerging approaches such as recommendation
  • Monitor and improve models in production
  • Mentor data scientists and raise standards for modeling and code review

Requirements summary:

  • Experience deploying supervised and unsupervised ML models to production
  • Strong Python skills with scikit-learn, Pandas, NumPy, TensorFlow or PyTorch
  • Proficiency in SQL and large dataset transformation
  • Experience implementing ML solutions on AWS SageMaker or equivalent
  • Demonstrated use of AI tools to accelerate research and problem-solving

Tools & skills

Benefits mentioned

Retirement planParental leave
Source and dates

Employer career site / ATS feed · workday

Employer posting date
2026-10-21
First seen by our source
2026-10-22
Source record updated
2026-11-05

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Hours per week40 (estimated)
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Encouraged to applyPeople with disabilities
Perks mentionedGenerous paid time off, Flexible hours, Generous parental leave, Retirement plan, Wellness, Transit support, Home office allowance

Summary and details written by AI from the posting; the employer’s posting is the authority.

Plusgrade Solutions Ltd.

FieldValue
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Job description

Employment Type:


Permanent

Job Description:

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.

What You'll Be Doing

You will research, design, and deploy machine learning and optimization models that support data-driven decisions, including personalized offers, pricing, and customer targeting. You will build scalable solutions across products, partners, and data environments, design rigorous experiments, evaluate emerging approaches such as recommendation and adaptive decision-making, and monitor and improve models in production. You will work with Engineering, Product, and business stakeholders to turn complex needs into practical solutions, while raising the bar on modeling, reproducibility, and code review through mentorship. You will work in an environment where AI tools are integrated into day-to-day work to accelerate research, explore new approaches, and improve how the team develops and solves problems.

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.

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