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Job Description
Department Overview
Position Overview
Detailed Accountabilities Include
- Develop robust and reliable solutions leveraging advanced techniques, such as advanced statistics, machine learning and AI, NLP, geospatial analytics, storytelling \& visualization, helping to solve strategic business challenges and enable insightful actions.
- Leverage a broad stack of technologies and platforms and packages--- Python, Azure DataBricks, PySpark, PyTorch, and more --- to reveal the insights hidden within huge volumes of numeric and textual data.
- Work closely with various stakeholders, to successfully move the project through all phases of the model lifecycle, from ideation and design through data gathering, training, evaluation, control and governance partners review and approval process, implementation, and ongoing monitoring and maintenance, with minimal supervision.
- Effectively communicate model design and results to senior leaders and business partners, articulate the business problems from a technical/quantitative definition and facilitate key strategic discussions and provide thought leadership.
- Provide expertise on mathematical concepts for the broader analytics team and inspire the adoption of advanced analytics and machine learning across the organization.
- Maintain full professional knowledge of techniques and developments in the field of Machine Learning and AI, including Generative AI, and share knowledge with peers, business partners, and senior management.
- Maintain relationship with the team's strategic partners, such as business teams, AI2, and governance and control partners.
Education \& Experience
- Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with progressive project work experience
Job Requirements / Qualifications
- Experience in predictive modelling using various ML/AI techniques
- Formal training or substantive experience in a quantitative field such as Computer Science, Statistics, Mathematics, or relevant fields.
- In-depth knowledge of ML/AI algorithms and techniques, such as Gradient Boosting Method, NLP, modern deep Neural Networks, and time series forecasting.
- Familiarity and experience with Generative AI techniques and advancements.
- Full stack experience in data science product delivery, including data collection, aggregation, analysis, and visualization, development and testing, implementation, and monitoring.
- Proficiency in Python, PySpark, PyTorch, and SQL programming languages as well as object-oriented programming.
- Familiarity with version control software or platform such as Git, Bitbucket or Github.
- Strong analytical and problem-solving skills are required to interpret data and draw conclusions.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
- Excellent written and verbal communications skills.
- Good time management and project management skills with minimal supervision.
- Experience with distributed computing and parallel processing on large data sets using Spark.
- Ability to research and implement Machine Learning algorithms from academic research papers.
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Colleague Development
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Language Requirement (Quebec Only)
