3 дня назад
Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Designing and deploying AI-powered tools and agent systems that combine LLMs, machine learning models, and rule-based logic for business decision-making with an accent on agentic development, predictive modeling, forecasting, and production deployment. Focus on orchestrating multi-model workflows, maintaining large-scale data pipelines, modernizing cloud data infrastructure, and translating complex outputs into actionable recommendations.
Location: Toronto, Canada; at least 3 days per week in the office
Company
is a global payments technology company facilitating transactions between consumers, merchants, financial institutions, and government entities.
What you will do
- Design AI agent systems that automate data retrieval, impact analysis, and proactive recommendation generation.
- Combine LLMs, traditional machine learning models, and rule-based logic into reliable end-to-end workflows.
- Move agent prototypes from proof of concept to production with documentation, testing, CI/CD, and deployment ownership.
- Build predictive and forecasting models that support agent systems and business decisions.
- Monitor recurring ETL processes, maintain data quality, and contribute to data stack modernization and cloud migration.
- Collaborate with product, engineering, and regional teams to communicate recommendations to senior business stakeholders.
Requirements
- 5+ years of relevant experience with a bachelor's degree, 2+ years with an advanced degree, or relevant PhD-level qualification.
- Experience building and deploying modular, scalable, and maintainable machine learning models to production.
- Hands-on experience with LLMs or generative AI and interest or experience in agentic or multi-model systems.
- Experience building data pipelines and working with large-scale data using Spark, Airflow, SQL, or Python.
- Experience managing data science or machine learning projects from scoping through delivery.
- Ability to explain technical work clearly to non-technical audiences.
Nice to have
- Experience with AI agents or multi-model orchestration frameworks such as LangChain, Claude Agent SDK, or OpenAI Agents SDK.
- Experience with predictive modeling, time-series forecasting, and productionizing agentic applications.
- Hands-on experience with AWS, GCP, or Azure.
- Financial services or payments industry experience.
- Experience working across geographies and time zones in a global organization.
Culture & Benefits
- Full-time employment at a global payments technology company.
- Work involves collaboration across regions, product, engineering, and senior business stakeholders.
- Office attendance is required at least 3 days per week, with exact expectations confirmed by the hiring manager.
- is an equal opportunity employer and provides accommodations during the selection process.
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