Data Scientist
3 weeks ago
Product & Technology Full Time Montreal, QC
At Vasco, we are on the brink of pioneering a new horizon in AI, blending the precision of Operational Research (OR) with the intuitive capabilities of Large Language Models (LLM) to create innovative conversational interfaces. We aim to enhance analytical methods, driving smarter growth decisions for startups and scale-ups. We are looking for a passionate Data Scientist to kickstart and lead the inception of our AI practice.
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Location : Montreal, Canada
Company Overview:Welcome to Vasco, a science-driven revenue platform for high-growth B2B businesses. We believe that 20% of building a successful business is magic, while the remaining 80% is rooted in execution excellence and scientific principles. We apply this science to help Revenue Architects and RevOps team discover their go-to-market fit, construct a predictable growth engine, and scale 10x faster.
We are a venture capital-backed startup that has successfully secured a substantial funding round, demonstrating strong market traction and ensuring an extended financial runway.
Role Summary:- Lead the development and implementation of our OR practice, focusing on integrating Google OR-Tools with our Data Model to build Optimization Capabilities for our users.
- Apply Operational Research techniques - specifically MILP (Mixed Integer Linear Programming) - and Constraint Programming to unlock key features that enhance the capabilities of Vasco for our users.
- Stay abreast of the latest AI trends, especially in OR and LLMs, to ensure Vasco remains at the forefront of innovation.
- Conduct rigorous data analysis and provide insights to guide strategic decisions.
- Document and present model development, results, and insights to both technical and non-technical stakeholders.
- Master's or PhD in Mathematics, or a related field, focusing on Operational Research and/or Contraint Programming.
- Demonstrated ability to apply Operational Research techniques to real-world problems.
- Proficient in machine learning concepts.
- Strong analytical and problem-solving skills, with a creative approach to overcoming challenges.
- Excellent collaboration skills, capable of working effectively in a dynamic, interdisciplinary team.
- Experience with Google OR-Tools
- Publications or presentations in relevant AI, OR, or machine learning forums or journals.
- Experience in LLMs integration.
- This position is based in Montreal, Canada.
- Hybrid, with three anchor days (Monday, Tuesday, and Thursday) at the Office at Place Ville Marie.
- Top-of-market compensation (Base + Equity) commensurate with experience.
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