Publié avant-hier
Senior Data Scientist
@ Agilus Work Solutions
Toronto, Ontario
En bref
Agilus by Synergie is hiring a Senior Data Scientist for a FinTech company to own machine learning models from concept through production. The role covers designing, deploying and monitoring models that support financial products, with a remote-first arrangement and a salary of $140,000 to $160,000 annually.
Salaire :
140 000 $–160 000 $ par année
Responsabilités :
- Design, develop and deploy machine learning models into production
- Build training pipelines and package models for scalable deployment
- Monitor model performance, drift and quality
- Conduct statistical validation and champion-challenger testing
- Collaborate with Data Engineering, Product, QA and Engineering teams
Résumé des exigences :
- 6 to 8 years building and deploying machine learning models
- Expert-level Python in production environments
- End-to-end ML lifecycle management
- Strong statistical analysis and model evaluation
- Modern ML frameworks and cloud-based environments
- Scalable model-serving solutions and production APIs
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · careerpage
- Date publiée par l’employeur
- 2026-11-07
- Première détection par notre source
- 2026-10-11
- Mise à jour du dossier source
- 2026-11-08
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 |
| Expérience | 6 an(s) et plus |
| Milieu de travail | Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Congés payés généreux, Horaire flexible |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Agilus Work Solutions
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Experts in Specialized Talent for Nearly 50 years. Canada's largest, full service, privately-owned recruiting firm.
Description complète de l’entreprise
Looking for work doesn’t have to feel overwhelming. Agilus connects job seekers with employers in Canada who value your skills, goals, and potential, across technology, engineering, professional, skilled trades, and public sectors. Whether you’re seeking a permanent role, contract, or fresh start, we’ll help you find work that fits. We’ll make the process easier and more rewarding. Hiring the right people is critical to your success. Agilus finds, hires, and manages top talent across industries with flexible workforce solutions, deep industry expertise, and talent hiring strategies. As experts in specialized talent, Agilus’ services and solutions focus on the talent powering digital transformations, energy transition and the businesses shaping Canada’s future.
- Abonnés LinkedIn
- 149 005
- Personnes associées sur LinkedIn
- 250
- Bureaux déclarés
- 10012 Jasper Ave, Edmonton, AB T5J 1R2, CA
- 600 - 10 Kingsbridge Garden Circle, Mississauga, Ontario L5R 3K6, CA
- Victoria, British Columbia V8V 3K8, CA
- 13761 96 Avenue, Suite 406, Surrey, British Columbia V3V 1Z2, CA
- 800 5 Ave SW, Suite 1600, Calgary, Alberta T2P 3T6, CA
- 10012 Jasper Ave NW, Edmonton, Alberta T5J 1R2, CA
- Winnipeg, Manitoba R3C 1V4, CA
- 301 Croft Dr, Unit 3, Windsor, Ontario N8N 2L9, CA
- Sarnia, Ontario N7T 7T9, CA
- Brockville, Ontario K6V 5K1, CA
- 275 Slater St, Suite 1800, Ottawa, Ontario K1P 5H9, CA
- 5475 Spring Garden Rd, 501, Halifax, Nova Scotia B3J 3T2, CA
- 40 University Ave, Suite 905, Toronto, Ontario M5J, CA
- 1405 Mountain Road, Unit 6, Moncton, New Brunswick E1C 2T9, CA
- 873 Boulevard Décarie, Montreal, Quebec H4L 3M2, CA
- 1305 Boulevard Lebourgneuf, 101, Québec, Quebec G2K 2E4, CA
- Autres noms enregistrés
- Agilus Work Solutions
- Spécialités
- engineering
- information technology
- light industrial
- recruitment
- sourcing
- MSP/VMS
- master vendor
- technology
- skilled trades
- accounting & finance
- contingent workforce
- digital
- candidate engagement
- human resources
- talent acquisition
- Federal Government
- Life Sciences
- Contract
- Permanent Roles
- and Staffing
- Le profil indique une agence de recrutement
- Oui
Looking for work doesn’t have to feel overwhelming. Agilus connects job seekers with employers in Canada who value your skills, goals, and potential, across technology, engineering, professional, skilled trades, and public sectors. Whether you’re seeking a permanent role, contract, or fresh start, we’ll help you find work that fits. We’ll make the process easier and more rewarding. Hiring the right people is…
| Champ | Valeur |
|---|---|
| Secteur | Staffing and Recruiting |
| Taille | 201-500 employees |
| Siège social | Edmonton, AB |
| Type d’organisation | Privately Held |
| Fondée en | 1976 |
| Spécialités | engineeringinformation technologylight industrialrecruitmentsourcingMSP/VMSmaster vendortechnologyskilled tradesaccounting & finance |
| Offres sur Jobsy | 314 |
| Voir la page |
Senior Data Scientist – Build & Deploy Machine Learning Models That Power Financial Decisions
Agilus by Synergie is recruiting for a Senior Data Scientist in the FinTech industry. This Senior Data Scientist role offers the opportunity to own machine learning models from concept to production within a growing fintech environment. You'll design, build, deploy, and monitor models that support critical financial products, helping drive smarter risk decisions, richer financial insights, and improved customer experiences. Ideal for a hands-on data scientist who enjoys combining advanced analytics, machine learning, and software engineering to deliver measurable business impact. Responsibilities:Design, develop, and deploy machine learning models into production environments
Create training pipelines and package models for scalable deployment
Monitor model performance, drift, and quality across production systems
Conduct statistical validation, experimentation, and champion-challenger testing
Collaborate with Data Engineering, Product, QA, and Engineering teams on model integration
Define technical specifications, model design documentation, and evaluation frameworks
Requirements:Bring 6–8 years of experience building and deploying machine learning models
Demonstrate expert-level Python programming skills in production environments
Design and manage end-to-end ML lifecycles from training through monitoring
Apply strong knowledge of statistical analysis, model evaluation, and experimentation
Work with modern machine learning frameworks and cloud-based environments
Build scalable model-serving solutions and production APIs
Total rewards:$140000.00 - $160000.00 annuallyHealth and dental coverage from day one
Flexible paid time off to support work-life balance
Remote-first work environment with regular team gatherings
Opportunity to own machine learning models end to end
Work with modern cloud-native AI and data platforms
Soft skills:Communicate complex analytical concepts clearly to technical and business audiences
Take ownership of outcomes and drive initiatives from ideation through deployment
Collaborate effectively across Data Science, Engineering, Product, and QA teams
Approach problems with curiosity, critical thinking, and a data-driven mindset
This posting is for an active opening. Interested? Please apply directly online Agilus by Synergie would like to thank all candidates for their interest in this opportunity. Due to the volume of resumes we receive; we may only be able to respond directly to those candidates being selected for an interview.We encourage you to visit agilus.ca regularly or subscribe to our email alerts at agilus.ca/Account/Register as new exciting employment opportunities become available daily.
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