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.

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.

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.