Lead Data Scientist

1 month ago

Toronto, Ontario, Canada Royal Bank of Canada> Full time

Job Summary

Job Description

What is the Opportunity?

Royal Bank of Canada is seeking a highly skilled Data Scientist to join our Personal Banking & Commercial Banking Data Strategy team. As a Data Scientist, you will be responsible for designing, building, and deploying advanced marketing models to maximize client acquisition and efficiency.

Key Responsibilities:

  • Design and develop advanced marketing models using machine learning algorithms and techniques.
  • Partner with internal stakeholders to frame use cases and define success metrics.
  • Work with large and varied structured and unstructured data to train and deploy models.
  • Develop and maintain state-of-the-art machine learning models, including feature engineering, model training, and model inference.
  • Monitor model performance and business success metrics over time.

Requirements:

  • Master's degree in Statistics, Economics, Marketing, or related quantitative field.
  • 3+ years of experience in marketing science/data science in digital marketing, sales, eCommerce, or related field.
  • Strong foundation in statistics, probability, and machine learning, including deep learning.
  • Strong programming skills in Python or R, including relevant statistical and machine learning libraries.
  • Good foundations in SQL, big data frameworks, and cloud computing.

What's in it for you?

We offer a comprehensive Total Rewards Program, including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable. Our leaders support your development through coaching and managing opportunities. You will have the ability to make a difference and lasting impact, work in a dynamic, collaborative, progressive, and high-performing team, and access a world-class training program in financial services.

Job Skills:

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

Additional Job Details:

We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients, and communities. We strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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