Senior Data Scientist, Data Products

Summary

Join Wealthsimple's Data Products Team as a Data Scientist and be at the forefront of using large language models (LLMs) to transform various aspects of our business. You will take end-to-end ownership of the model building lifecycle, from ideation to deployment and maintenance. Continuously learn and stay updated with the latest trends in data science and fintech, especially in the world of LLMs. Collaborate with domain experts and cross-functional teams. Leverage our state-of-the-art ML platform to monitor model performance. Apply software engineering best practices. Embrace simplicity and effectiveness in your approach. Teach and learn from your teammates. This role is integral in realizing the potential of LLMs within Wealthsimple.

Requirements

• Proven experience as a data scientist or machine learning engineer, with a focus on Natural Language Processing (NLP), Reinforcement Learning (RL), or Large Language Models (LLMs)
• Proficiency in Python, with a strong familiarity with key data science & machine learning libraries and tools
• Demonstrated experience in productionalizing ML models, with a track record of owning the full lifecycle of ML model development, from ideation to deployment and maintenance
• Understanding of large language models such as GPT-4, GPT4ALL, Bloomchat, and others, with a deep understanding of their potential applications and limitations
• Familiarity with key LLM concepts such as fine-tuning models, and libraries such as Langchain and Kor
• Solid knowledge of data engineering and preprocessing, including handling large datasets, ensuring data quality, and managing data pipelines
• Comfortable with software engineering best practices, including version control and using Git for collaborative development
• Strong problem-solving skills, with the ability to think critically and creatively to find effective solutions to complex challenges
• Excellent communication skills, with the ability to convey complex ideas in a simple, clear, and engaging manner for a variety of audiences
• Outstanding interpersonal skills, demonstrated through the ability to thrive in highly collaborative settings and contribute positively to team-oriented environments
• Familiarity with AI ethics and responsible AI practices, with a commitment to ensuring that our solutions are not only effective but also ethical and fair

Responsibilities

• Utilize large language models (LLMs) to transform various aspects of our business, including our product offering, customer service, and internal operations, making a tangible impact on our company and our customers
• Take end-to-end ownership of the model building lifecycle, from the initial idea to production deployment, ensuring that our solutions are not only innovative but also reliable and sustainable
• Continuously learn and stay updated with the latest trends in data science and fintech, especially in the world of LLMs, prompt engineering and productionalization of models
• Collaborate with domain experts and cross-functional teams to understand intricate problems specific to our industry, and identify opportunities where machine learning can drive significant innovation and efficiency
• Leverage our state-of-the-art ML platform to monitor model performance post-production, with built-in triggers to identify model drift and opportunities for re-training, ensuring our solutions remain effective and relevant
• Apply software engineering best practices, such as version control and continuous integration, to the code base; ensure that our models are not only effective but also well-tested, documented, and maintained
• Embrace simplicity and effectiveness in your approach to challenges, adhering to the principle of Occam's razor to find the most straightforward solutions to complex problems
• Teach and learn from your teammates

Benefits

• Competitive salary with top-tier health benefits and life insurance
• Retirement savings matching plan using Wealthsimple Work
• 20 vacation days per year and unlimited sick and mental health days
• Up to $1,500 per year towards wellness and professional development budgets respectively
• 90 days away program: Employees can work internationally in eligible countries for up to 90 days per calendar year
• A wide variety of peer and company-led Employee Resource Groups (ie. Rainbow, Women of Wealthsimple, Black @ WS)
• Company-wide wellness days off scheduled throughout the year