Publié il y a 18 jours
Senior Data Scientist
@ Plusgrade Solutions Ltd.
Montréal, Québec
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · workday
- Date publiée par l’employeur
- 2026-10-21
- Première détection par notre source
- 2026-10-22
- Mise à jour du dossier source
- 2026-11-05
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Candidatures encouragées | Personnes handicapées |
| Avantages mentionnés | Congés payés généreux, Horaire flexible, Congé parental généreux, Régime de retraite, Mieux-être, Aide au transport en commun, Allocation de télétravail |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Plusgrade Solutions Ltd.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 10 |
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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