18 meilleures offres (reinforcement learning, toronto, on) (à pourvoir)

Data Scientist II
TD Bank —Toronto, ON
- De 81 600 $ à 115 200 $ par an
- Temps plein
- Informatique
- Azure
- Informatique
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Lead Engineer, Reinforcement Learning & Scenario Generation
Serve Robotics —Toronto, ON
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- Temps plein
- Télétravail
- Informatique
- Maîtrise
- C++
Staff Machine Learning Engineer
EvenUp —Toronto, ON
- De 212 000 $ à 301 000 $ par an
- Temps plein
- Télétravail
- Doctorat
- Informatique
- Python
- Jours fériés payés
- Assurance Invalidité
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Research Lead / Principal Scientist & Manager Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: Toronto · Remote (CA)
Autodesk —Toronto, ON
- Temps plein
- Télétravail
- Doctorat
- Conception de systèmes
- Expérience en laboratoire
Sr. Machine Learning Engineer, Content Shopping
Pinterest —Toronto, ON
- Doctorat
- Informatique
- Maîtrise
Machine Learning Engineering, Intern
Bree —Toronto, ON
- De 50 $ à 65 $ de l’heure
- Temps plein
- Travail hybride
- Apprentissage automatique
- Stage/coop
- Compétences en communication
Applied Researcher 1
eBay Inc. —Toronto, ON
- De 118 000 $ à 157 500 $ par an
- Temps plein
- Doctorat
- Informatique
- Anglais
- Congés payés
Machine Learning Engineer
NTENT —Toronto, ON
- Temps plein
- Informatique
- Java
- Maîtrise
- Jours fériés payés
- Assurance Invalidité
Postuler rapidement
ML Engineer
Human Computer Lab —Toronto, ON
- Temps plein
- Travail hybride
- C++
- Apprentissage automatique
- Intelligence artificielle
Postuler rapidement
Staff Data Scientist
Clio —Toronto, ON
- De 153 600 $ à 230 400 $ par an
- Temps plein
- Travail hybride
- Doctorat
- Informatique
- Conception de systèmes
- Assurance Dentaire
- Congés payés
Data Scientist, Advanced Analytics & Commercial Effectiveness
Alexion Pharmaceuticals,Inc. —Mississauga, ON
- De 134 708,00 $ à 176 804,25 $ par an
- Temporaire
- Travail hybride
- Doctorat
- Maîtrise
- SQL
Associate, Data Scientist
BMO Financial Group —Toronto, ON
- De 90 000 $ à 120 000 $ par an
- Doctorat
- Informatique
- Apprentissage automatique
- Bourses d'Études
- Assurance Vie
Senior Software Engineer I, ML
Braze —Toronto, ON
- De 153 815 $ à 279 600 $ par an
- Azure
- DevOps
- SQL
- Assurance Dentaire
- Congés payés
Postuler rapidement
Staff Applied AI/ML Scientist
TELUS —Toronto, ON
- De 109 000 $ à 202 000 $ par an
- Temps plein
- Azure
- Doctorat
- Informatique
Intern - Software/ML Engineering
Human Computer Lab —Toronto, ON
- Travail hybride
- Informatique
- Ingénierie
- C++
Postuler rapidement
Lead Data Scientist
Techblocks —Vaughan, ON
- Azure
- Doctorat
- Ingénierie
Postuler rapidement
il y a 8 jours
Vice President, Data Scientist
BMO Financial Group —Toronto, ON
- De 120 000 $ à 150 000 $ par an
- Doctorat
- Informatique
- Apprentissage automatique
- Bourses d'Études
- Assurance Vie
Vehicle Motion Control AI/ML Platform Design Engineer
General Motors —Markham, ON
- De 90 900 $ à 136 400 $ par an
- Temps plein
- Doctorat
- Ingénierie
- Analyse de données
- Jours fériés payés
- Assurance Dentaire

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Data Scientist II

TD Bank -
Toronto, ON

Postuler dès maintenant

Détails du poste

Temps plein
De 81 600 $ à 115 200 $ par an

Profil recherché

TensorFlow
Informatique
Power BI
Azure
Informatique
PyTorch
Ingénierie
NumPy
Mathématiques
Google Cloud Platform
Tableau
Finance
Maîtrise
SQL
Pandas
AWS
Baccalauréat
Apprentissage automatique
Physique
Sens de l'organisation
Intelligence artificielle
Python
Analytique

Description complète du poste

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$81,600 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Department Description:

The Analytics, Insights & Artificial Intelligence (AI2) team delivers data- and analytics-driven insights that support informed decision-making and strategic planning across the organization. Within AI2, the Canadian Personal Banking (CPB) team provides end-to-end analytics support—including reporting, advanced analytics, and AI solutions—to drive measurable business value.

Role Overview

The Data Scientist II, reporting to the Senior Manager, Specialized Sales Force (SSF), designs, builds, and deploys advanced analytics solutions on cloud-based platforms. The role translates complex business challenges into production‑ready data assets, actionable insights, and automated analytics. By combining strong technical expertise, analytical rigor, and close business partnership, this role drives measurable improvements in goaling, pipeline optimization, and performance management in support of mobile mortgage specialists, brokers, and builders.

Key Responsibilities include:

Develop scalable analytics solutions using Python, SQL, and PySpark within cloud environments (Azure Databricks and enterprise data platforms)
Build curated datasets, automated pipelines, and analytics layers that support operational monitoring, performance insights, and regulatory controls
Analyze large, complex datasets to identify trends, risks, gaps, and optimization opportunities
Translate ambiguous business questions into structured analytical frameworks and actionable deliverables
Embed data quality checks, validation, and automation into all analytics products
Partner cross-functionally with business stakeholders, data engineering teams, and enterprise analytics groups
Communicate insights through dashboards, presentations, and executive-ready storytelling
Continuously improve analytics processes, standards, and reusable data assets
Support a strong risk and control culture through robust analytical monitoring and governance

Required Qualifications:

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science).
Graduate degree preferred or progressive project work experience.
3+ years of relevant experience; higher degree education and research tenure can be counted.
Strong organizational skills with the ability to work in a fast-paced environment and manage multiple deadlines and priorities.
Ability to effectively work in teams across the bank with multiple stakeholders and to influence and align others.
Strong risk acumen – challenges the status quo and proactively manages risks.
Ability to work in ambiguity and simplify complex issues.
Strong work ethic and ability to execute with speed.

Required Technical Skills:

Proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark) and SQL (writing complex queries, stored procedures, and data extraction).
Hands-on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference.
Experience building, training, and deploying machine learning models, including model pipelines, feature engineering, hyperparameter tuning, and model explainability.
Experience with cloud-based data and AI/ML platforms (e.g., Azure, AWS, or GCP), including deploying and managing models in production environments.
Proficiency in tools like Power BI, Tableau, or similar platforms to create impactful visualizations and dashboards.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

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