Lead advanced analytics and AI/ML efforts, design experiments, collaborate across teams, mentor juniors, and stay updated on AI research.
About Session AI
At Session AI, we’re redefining how companies understand and engage with their customers. Our AI-driven platform enables businesses to deliver hyper-personalized experiences at scale, powered by advanced behavioral analytics and real-time decisioning. We thrive on data, and our team is passionate about transforming complex data into actionable insights that drive real-world impact.
The Role
We're looking for a Principal Data Scientist who is passionate about solving complex problems using AI, machine learning, statistical modeling, and experimentation. As a senior member of the data science team, you will work cross-functionally with engineering, product, and business teams to shape the next generation of Session AI’s intelligence capabilities.
Key Responsibilities
- Lead the research, advanced analytics, and feature engineering efforts across AI/ML applications.
- Design and develop experiments for machine learning models and statistical algorithms to drive product and customer insights.
- Translate complex analytics, performance metrics, observations and findings into clear, actionable insights for technical and non-technical stakeholders.
- Collaborate with leadership, product managers and engineers to explore innovative ideas and lead AI initiatives.
- Mentor junior data scientists and contribute to best practices in data science and advanced analytics.
- Stay up to date with the latest in AI/ML research.
Qualifications
- 10+ years of experience in data science, machine learning, or applied statistics.
- Strong problem-solving skills.
- String analytical skills.
- Deep knowledge of supervised and unsupervised learning, time-series forecasting, clustering, and recommendation systems.
- Strong programming skills in Python (preferred) with experience using libraries like scikit-learn, TensorFlow, PyTorch, XGBoost, etc.
- Proficiency in SQL.
- Experience troubleshooting production issues and doing root-cause analysis.
- Excellent communication skills with the ability to present technical content to diverse audiences.
- Advanced degree (MS/PhD) in Computer Science, Statistics, Mathematics, or a related quantitative field.
Bonus Points
- Experience in behavioral analytics or personalization engines.
- Background in real-time data processing or event-driven architectures.
- Prior experience in high-growth SaaS or AI/ML startups.
- A fast-paced, collaborative environment where your work directly impacts product and customer experience.
- Competitive compensation, equity, and benefits package.
- Opportunities to grow into leadership roles and shape the data science vision of Session AI.
Top Skills
Python
PyTorch
Scikit-Learn
SQL
TensorFlow
Xgboost
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With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
