Data Scientist Lead

1 week ago


Old Toronto, Canada Curinos, Inc. Full time

At Informa Connect Limited, we empower financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. This role may be based in our Toronto office.

Company Overview

We are looking for an experienced applied Data Scientist Lead to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms You will thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise.

This Data Scientist Lead is an influencer who can up-level the pursuit and impact of applied data science at Curinos, formulate and implement company-wide best practices, and lead large scale initiatives end to end.

Job Description

The ideal candidate will have 5+ years' experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications.

  • 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 can support implementation in our platform software and documentation, feature and functionality descriptions and customer engagement as needed.
Required Skills and Qualifications
  • Demonstrated knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, multi-armed bandits, time series analysis, causal inference analysis, neural networks and deep learning techniques.
  • A strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting (experience with PySpark and Databricks preferred).
  • An advanced degree or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline.
  • Excellent interpersonal skills and ability to influence others around you towards data-driven business goals.
Benefits

This position comes with competitive annual leave, floating holidays, volunteering days and a day off for your birthday.

Regular social events and networking opportunities are also available.

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. We offer an Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services.



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