Job Description:Role SummaryExpected Salary Range: $90,000-100,000 CAD, depending on experience and qualificationsWe are seeking a Lead/Senior Data Scientist to design and deliver advanced analytical solutions that power our global loyalty SaaS platform. This role is a senior individual contributor position for a highly skilled professional who thrives on solving complex business challenges through data science, visualization, machine learning, and experimentation.
The ideal candidate combines technical depth with business acumen, is action-oriented, and continuously seeks to innovate and re-engineer processes for greater efficiency and impact.
Key Responsibilities- Develop, prototype, and deploy advanced visualization and machine learning models to drive customer segmentation, personalization, churn prediction, LTV forecasting, and marketing optimization.
- Partner with business and marketing stakeholders to translate challenges into well-defined analytical problems.
- Scope, plan, and execute data science projects end-to-end with minimal oversight.
- Explore and adopt emerging technologies, methods, and tools to advance the company's analytics capabilities.
- Drive continuous improvement and re-engineering of analytics workflows to improve scalability, efficiency, and accuracy.
- Communicate findings with clarity and influence, tailoring insights to both technical and non-technical audiences.
- Act as a subject matter expert and mentor for peers, setting technical standards and best practices across the data science team.
Qualifications- Degree in Data Science, Statistics, Computer Science, Economics or related field.
- 5+ years of experience in applied data science, with a strong track record of high-impact delivery.
- Expert in SQL, Python/R, machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and large-scale data processing.
- Experience in experimentation design (A/B testing, uplift modeling) and marketing analytics.
- Strong ability to work independently, prioritize effectively, and deliver results.
- Excellent communication skills for influencing stakeholders across functions.
- Experience in loyalty, SaaS, or customer engagement domains preferred.
Business Unit:RewardOps
Scheduled Weekly Hours:37.5
Number of Openings Available:1
Worker Type:Regular
