Ai Scientist Job Description - Toronto, Canada - Provincial Smart Home Services Inc

Description

Major Purpose and Objective of the Position:

Reporting to:
VP of Marketing, IT, & Data: Mirza


Direct Reports:
None


KEY RESPONSIBILITIES:


_ Provincial_

• Manage processes and custom scripting for integrating AI / ML into Salesforce build predictive models to understand high propensity / high credit individuals
• With the predictive models then, build campaign lists according to CX and buyer journeys
• Build a Virtual Assistant (chatbot) for use on the eCommerce site and the flagship website (using OpenAI / ChatGPT or other such programming)
• Customer segmentation via ML
• Product recommendations using AI/ML models (upsell & crosssell)

**_
30430 Inc._**- Development/coding of SEC filing platform - ETL - Extract (scraping of PDF forms), Transform (transformation of pdfs into reports) and Learn (sort and filter data by whales) SEC filing data into a daily automated report to provide leverage for trading

• Time needed to custom code platform: 23 months

KNOWLEDGE AND SKILL REQUIREMENTS:

• Expert on AI theory & model architecture (CNN/GNN/Transformer/RL/Bayesian) and performance optimization
• Excellent problem solving and debugging skills
• Effective interpersonal skills and experience in collaborating with cross site teams
• Passionate about solving 'hard' problems and developing skills in AI algorithm breakthrough and commuting efficiency
• Experience on AI/ML technologies with SQL, R, Python, PyTorch, Tensorflow
• Experience with manipulating and analyzing complex, highvolume, highdimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validating results
• Experience with data mining, machine learning, statistical modeling tools and underlying algorithms

EXPERIENCE

• University Degree in Computer Science, Math, Statistics, Physics, Actuarial Science or related field or equivalent. A master or Ph.

D. degree is preferred.

• Advanced level understanding of machine learning fundamentals and model development principles.
• 13 years of programming experience preferably in Python with strong grasp of software engineering standard methodologies such as codereusability, modularity, use of repos, etc.
• 13 years of experience with ML/AI technologies, such as scikitlearn, Keras, TensorFlow, PyTorch.
• Experience with Big Data Technologies such as Spark, Databricks, Scala will be considered an asset.