Machine Learning Expert

6 days ago


Toronto, Ontario, Canada Curinos Full time
About the Role

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

Key Responsibilities
  • Independently apply advanced statistical concepts and machine learning techniques to deliver repeatable, scalable workflows and products.
  • Shape experimental design and incorporate a working knowledge of advanced experimental analytics techniques to accurately measure the success of Curinos' ML-based marketing optimization campaigns.
  • Independently select the appropriate approaches from a broad toolkit of ML algorithms and embody high standards of quality and accountability throughout the ML model development lifecycle, with an eye to enabling successful, repeatable, scalable production-level deployment.
  • Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities.
  • Proactively explore available data and opportunities to leverage the latest developments in AI to innovate our suite of FinTech products.
  • Apply advanced data management techniques and tools to bring datasets into data science workflows and systems, enabling our products.
Requirements
  • You 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. Experience in scientific marketing contexts is a plus.
  • You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models.
  • You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques. Experience with generative AI and LLMs is a plus.
  • You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting.
  • You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers.
  • You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals.
  • You can quickly pivot and act with agility as dictated by the needs of the business.
  • You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline.
What We Offer
  • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from.
  • 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
  • Learning and development tools to assist with your career development.
  • Work with industry leading Subject Matter Experts and specialist products.
  • Regular social events and networking opportunities.
  • Collaborative, supportive culture, including an active DE&I program.
  • 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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