Data Science Expert

1 week ago

Old Toronto, Canada Informa Connect Limited Full time

At Curinos, we empower financial institutions to make informed decisions with industry-leading data, technologies, and insights.

Job Overview

We are seeking an experienced Data Science Expert to join our team focused on applying data science and machine learning approaches to understand banking customer behavior. As a key member of our Data Science & Machine Learning Team, you will bring data-driven insights into conversations about our customers and drive proactive improvements while building on shared knowledge and expertise.

Responsibilities
  • You will combine data sources and apply multiple data and algorithmic approaches to create a clear, cohesive, static, and temporal picture of banking customers, actionable for both humans and algorithms.
  • Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities.
  • Create well-organized datasets and data processing, algorithm implementations, and recommended visualizations that support implementation in our platform software, documentation, feature and functionality descriptions, and customer engagement as needed.
Requirements
  • 5+ years' experience delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications.
  • Independently prototyped, optimized, validated, managed, operated, and updated machine learning and statistical models.
  • Strong working knowledge of Python-based machine learning frameworks and data and computation management mechanisms in a cloud setting (experience with PySpark and Databricks preferred).
  • Strong interpersonal skills and ability to influence others towards data-driven business goals.
  • Advanced degree or equivalent career experience in Computer Science, Applied Mathematics, Statistics, or a related technical discipline.
What We Offer
  • Estimated salary: $120,000 per year
  • Flexible working options, including home working, flexible hours, and part-time options, depending on the role requirements
  • Competitive annual leave, floating holidays, volunteering days, and a day off for your birthday
  • Regular social events and networking opportunities
  • Employee Assistance Program providing expert third-party advice on wellbeing, relationships, legal, and financial matters, as well as access to counseling services

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