Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.
About the role
- Data Scientist involved in GCP-driven data and AI initiatives at Valtech. Contributing to production readiness and building impactful data solutions.
Responsibilities
- Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels.
- Conduct root-cause analyses of known production issues leading to adverse model outputs.
- Select and implement appropriate machine learning models for time-series forecasting and supply-chain optimization applications.
- Contribute well-tested code to existing, object-oriented Python codebases.
- Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline.
- Engineer data pipelines and products to help stakeholders make and execute data driven decisions.
- Communicate analytical findings in an intuitive and visually compelling way.
- Creating highly visual and interactive dashboards via Tableau, PowerBI, or custom web applications.
- Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success.
- Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines.
- Architecting cloud data platform components enabling the above.
- Building and tracking project timelines, dependencies, and risks.
- Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions.
Requirements
- Hands-on experience with GCP services used in production marketing analytics, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage and Cloud Run or equivalent deployment/runtime patterns.
- Proven industry experience developing predictive or inferential statistical models or Masters/PhD degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities.
- Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems.
- Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, and R.
- Experience defining and reporting model acceptance metrics, including precision/recall, false-positive rate, and MAPE, with documented backtesting.
- Experience delivering production model artifacts including model cards, model registry updates, confidence intervals/bands, and guardrail-aware recommendations.
- More than 4 years of experience working in similar roles.
- Advanced English skills.
Benefits
- A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage.
- Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program.
- A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech.
- A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.
- Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year.
- Personal Technology Reimbursement – $30/month for every employee-offered on day 1.
- We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed.
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