Senior Data Scientist

4 weeks ago

Toronto, Ontario, Canada Royal Bank of Canada Full time
Job Summary

We are seeking a highly skilled Senior Data Scientist to join our team. As a key member of our data asset team, you will be responsible for designing, building, and deploying advanced machine learning models and applications using state-of-the-art tools and algorithms.

Key Responsibilities
  • Design and develop advanced machine learning models and applications using machine learning, AI, and statistics.
  • Collaborate with data engineers, data scientists, data architects, and data analysts to deliver business value to the organization.
  • Develop recommendations for new ways to improve data quality throughout the data transformation lifecycle.
  • Work with big data and cloud technologies such as Spark, Hadoop, and AWS environment (SageMaker, S3, Redshift).
  • Join data across multiple data environments, such as HDFS, S3, and Data Warehouses, using SQL queries with complex joins, groupings, and aggregations.
  • Partner with RBC internal partners and lines of businesses to help them frame use cases and define success metrics.
  • Document and validate model design and performance to ensure quality and scalability of all models.
  • Monitor model performance and business success metrics over time.
  • Be responsible for researching new capabilities and technologies to drive innovation.
Requirements
  • Master's degree in Statistics, Economics, Marketing (Quantitative Workstream), Mathematics, or related quantitative field.
  • 3+ years of hands-on experience or similar post-grad work in applying Machine Learning to Customer Marketing.
  • Strong foundation in statistics, probability, and machine learning, especially in areas like causal inference, regression analysis, hypothesis testing, Bayesian inference, time series forecasting, propensity modeling, attrition modeling, attribution, segmentation, CLV, and behavioral analytics.
  • Professional software development experience with Spark, Hadoop, AWS Cloud (SageMaker, S3, Redshift), GitHub, and SQL.
  • Strong programming skills in Python, including relevant statistical, machine learning, and deep learning libraries.
  • Able to clearly convey technical concepts and results to both technical and non-technical audiences.
What We Offer
  • A comprehensive Total Rewards Program including bonuses and flexible benefits.
  • 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.
  • Flexible work/life balance options.
  • Opportunities to do challenging work, take on progressively greater accountabilities, and build close relationships with clients.

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