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Lead Data Scientist

Jobgether
Canada
Full-time
AI tools:
PyTorch
Generative AI
Applications go directly to the hiring team

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Scientist in Canada.

In this high-impact role, you will lead advanced data science initiatives that directly influence financial planning, forecasting, and strategic decision-making at scale. You will work at the intersection of machine learning, generative AI, and finance, building models and systems that improve how resources are allocated and how business performance is anticipated. The role combines technical depth with strong business collaboration, requiring close partnership with finance leadership and executive stakeholders. You will design and deploy scalable ML solutions, from forecasting and optimization models to GenAI-powered applications. This position offers strong visibility, as your work will inform critical financial decisions and long-term business strategy. It is ideal for a senior data science leader who enjoys solving complex, real-world problems with measurable impact.

Accountabilities

* Lead the design, development, and deployment of advanced machine learning, forecasting, optimization, and generative AI models supporting financial planning and decision-making

* Translate complex financial and operational questions into data science problems in close collaboration with Finance and business stakeholders

* Build and scale predictive systems and data science infrastructure to support enterprise-level financial planning

* Apply and evaluate multiple modeling approaches, including time series forecasting, anomaly detection, optimization, and GenAI techniques

* Develop executive-ready insights and recommendations based on model outputs and analytical findings

* Partner with engineering teams to productionize models and ensure scalability, reliability, and performance

* Drive innovation in forecasting, resource optimization, and AI-driven financial modeling practices

* Mentor and guide other data scientists, raising the overall technical bar of the team

Requirements

* 8+ years of experience in data science, including development of predictive models in production environments

* Strong expertise in time series forecasting, anomaly detection, and optimization techniques

* Advanced degree (Master’s or PhD) in Data Science, Statistics, Applied Mathematics, Engineering, or related field

* Strong programming skills in Python and SQL, with experience in ML frameworks such as PyTorch, scikit-learn, XGBoost, LightGBM, and statsmodels

* Hands-on experience applying Generative AI, including RAG architectures and agent-based workflows

* Solid understanding of statistical methods, including hypothesis testing, causal inference, and experimental design

* Experience working with cloud platforms, preferably Microsoft Azure

* Strong business acumen with the ability to translate analytical results into actionable business insights

* Excellent communication skills, with the ability to influence technical and non-technical stakeholders

* Experience supporting finance, FP&A, or operational planning functions is a strong asset

Benefits

* Competitive salary ranging from 168,200 CAD to 252,200 CAD depending on experience and qualifications

* Equity participation and potential performance-based bonus

* Comprehensive medical, dental, and vision coverage for employees and dependents

* Retirement savings plan with employer matching contributions

* Flexible work environment with generous paid time off

* Parental leave and family support programs, including adoption assistance

* Wellness programs and employee assistance resources

* Learning and development opportunities, including leadership training and onboarding programs

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Applications go to the hiring team directly