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Staff Data Scientist (Global Security) – Lead ML projects, build Bayesian models, mentor junior scientists in Toronto.
Expert in pandas, Spark, NLP, Bayesian stats, and security-focused data science. Competitive salary, stock, and training.
What is the opportunity?
Advanced data scientist who explores and analyzes datasets using pandas and Spark, conducting statistical inferences from basic parameter estimation to complex model building with sophisticated methods. Demonstrates strong command of Bayesian statistics and advanced statistical learning techniques while interpreting correlations and performing rigorous significance testing to distinguish meaningful results from noise. Transforms data across multiple formats including graph-based representations, applying critical thinking to solve ambiguous problems. Ships production-ready code with optimization and security considerations, leading PL08 data scientists in daily tasks while overseeing multiple projects and providing technical mentorship across teams.
What will you do?
Apply critical thinking to develop high-level approaches to vague problems Build complex statistical models using sophisticated parameter learning methods Write maintainable, optimized, and secure production code Ship code to production with optimization and security considerations Lead junior data scientists in day-to-day technical tasks Oversee multiple data science projects simultaneously Apply strong understanding of Bayesian statistics to analytical problems
What do you need to succeed?
Must Have
Strong analytical abilities Strong understanding of foundational concepts
Min 3 years of hands-on experience with Pyspark, Python, Scala Focused on data science but NLP exposure will be recommended. Supervised/ Unsupervised Machine Learning, Anomaly detection, Bayesian statistics.
Nice to Have
Experience coming from Cyber security background. Has a good understanding and implementation of LLM tools.
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities
Opportunities to building close relationships with clients
Access to a variety of job opportunities across business and geographies.
Job Skills
Análisis, Análisis predictivos, Aprendizaje automático (ML), Ciencia de datos, Colaboración, Gestión de Big Data, Minería de datos, Procesamiento de lenguaje natural (PLN), Programación de lenguaje natural (NLP), PySpark, Python (lenguaje de programación), Resolución de problemas, Toma de decisiones
Additional Job Details
Address: 16 YORK ST:TORONTO
City: Toronto
Country: Canadá
Work hours/week: 37.5
Employment Type: Full time
Platform: TECHNOLOGY AND OPERATIONS
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-06-02
Application Deadline: 2026-07-20
Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.