Data Analyst - Business Intelligence

Overview We 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. Expected Salary Range: $90,000-100,000 CAD, depending on experience and qualifications 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.

Details Business Unit: RewardOps Scheduled Weekly Hours: 37.5 Number of Openings Available: 1 Worker Type: Regular #J-18808-Ljbffr