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Senior Data Scientist

2 months ago


Newfoundland and Labrador, Canada Informa Group Plc. Full time
About the Role

We are seeking an experienced Data Scientist to join our team at Informa Group Plc. as a Senior Data Scientist - CA. As a key member of our Data Science & Machine Learning Team, you will be responsible for applying advanced statistical concepts and machine learning techniques to deliver repeatable, scalable workflows and products.

Key Responsibilities
  1. Advanced Statistical Analysis: Independently apply advanced statistical concepts to deliver repeatable, scalable workflows and products.
  2. Experimental Design and Analytics: Shape experimental design and incorporate a working knowledge of advanced experimental analytics techniques to accurately measure the success of our machine learning-based marketing optimization campaigns.
  3. Machine Learning Model Development: Independently select the appropriate approaches from a broad toolkit of machine learning algorithms and embody high standards of quality and accountability throughout the machine learning model development lifecycle.
  4. Partnership with Machine Learning Engineers: Partner with our machine learning engineers to refine and extend our reinforcement learning-based marketing optimization capabilities.
  5. Exploration of New Data and AI Opportunities: Proactively explore available data and opportunities to leverage the latest developments in AI to innovate our suite of FinTech products.
  6. Data Management and Integration: Apply advanced data management techniques and tools to bring datasets into data science workflows and systems, enabling our products.
Requirements
  1. Experience and Track Record: 5+ years' experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications.
  2. Machine Learning and Statistical Knowledge: Knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques.
  3. Technical Skills: Strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting.
  4. Communication and Interpersonal Skills: Exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers.
  5. Interpersonal Influence: Strong interpersonal skills and an ability to influence others around you towards data-driven business goals.
  6. Agility and Adaptability: Ability to quickly pivot and act with agility as dictated by the needs of the business.
  7. Education and Qualifications: Advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline.