Sr. Data Scientist
About the Role
B3 enables enterprise manufacturers to digitize their operations and use AI to improve performance. Our AI & Data Science team builds the models, monitors, and AI features behind the platform, and a growing share of our work comes from client engagements: taking a manufacturer's raw operational data and turning it into insights and models they can act on.
In this role, you will own client engagements from end to end, starting from raw and often messy plant data and finishing with validated findings and working models. The data is industrial; time-series, sensor readings, downtime events, and shift reports and the audience is demanding in the best way: operators and plant managers who know their numbers well and will verify yours. We hold our work to that standard.
You will take project scoping and client goal setting conversations, and can grow into leading them over time. You will turn a well-scoped engagement into results the client can trust. The strongest of your work will graduate into our platform, where it serves clients beyond the one it was built for.
About the Work
- Own client engagements end to end: ingesting raw client data, auditing its quality, exploring it, engineering features, building and validating models, and delivering the results.
- Produce consulting-grade deliverables: clear write-ups and presentations, validated numbers, and models whose limitations are stated honestly, so that a client's own experts can check and trust the results.
- Build models for industrial problems such as anomaly detection, early-warning and predictive-maintenance questions, and forecasting, working mostly with time-series and event data.
- Agree on success criteria with the client before a build starts, so deliverables are judged against expectations both sides own.
- Work with the team to bring proven models and tools into the platform, where they can serve multiple clients.
- No industrial background is required. Our domain has plenty of complex workflows and terminology, and genuine curiosity is what carries people through it - we will help with the rest.
About You
- 4+ years of experience in data science or machine learning, including end-to-end ownership of projects you personally carried from messy source data to a delivered outcome.
- Comfortable working with stakeholders when the work calls for it: presenting findings clearly and asking good questions of the people who know the data best.
- Strong Python skills and experience with the standard stack (pandas, scikit-learn, PyTorch or TensorFlow).
- A solid foundation in statistics, modeling, and model evaluation - you know when a result is real, and you can demonstrate why.
- Experience with real-world, messy datasets; time-series, sensor, or event data is preferred.
- Sound independent judgment: you work well in a small team, seeking input rather than direction.
- Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field.
Bonus Points
- Experience with predictive maintenance, anomaly detection, or forecasting
- Experience deploying models into production environments
- Familiarity with SQL and data pipelines
- Experience with Azure or cloud-based data platforms
- Understanding of industrial, manufacturing, or operational data
- Experience leading stakeholder or client discovery, including scoping projects and defining goals and success criteria.
About the Office
- All In, In Office - Centrally located at the corner of Yonge & St. Clair, we show up together, every weekday. Face-to-face time fuels our culture, speed, and creativity.
- Built for Growth - We're moving fast, keeping structure light, and rewarding people who take ownership and drive momentum.
If you're driven by applied AI, enjoy working in the future, and want to build data science solutions that make a real impact, we'd love to meet you.
Note: This position reflects an existing vacancy.
