Data Analyst - Business Intelligence

RewardOps; Toronto; On-site; CAD 90,000 - 100,000; Full time

Job summary

RewardOps is seeking a Lead/Senior Data Scientist to design and deliver advanced analytical solutions for our global loyalty SaaS platform. This senior IC role combines deep technical work with business impact, focusing on visualization, machine learning, experimentation, and data-driven decision making.

You will partner with marketing to translate challenges into analytics, own end-to-end data projects, mentor peers, and drive improvements in scalability and accuracy across analytics workflows

Qualifications

• Degree in Data Science, Statistics, Computer Science, Economics or related field.
• 5+ years of experience in applied data science with high-impact delivery.
• Expert in SQL, Python/R, ML frameworks and large-scale data processing.
• Experience in experimentation design (A/B testing) and marketing analytics.

Responsibilities

• Develop, prototype, and deploy advanced visualization and ML models for segmentation, churn, LTV, and marketing optimization.
• Partner with business and marketing 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 to advance analytics capabilities.
• Drive improvements in analytics workflows for scalability and accuracy.
• Communicate findings clearly to technical and non-technical audiences.
• Act as SME and mentor for peers, establishing standards and best practices.

Skills

SQL

Python/R

Machine Learning

Visualization

A/B testing

Education

Degree in Data Science, Statistics, Computer Science, Economics or related field

Tools

scikit-learn

TensorFlow

PyTorch

Large-scale data processing

Job description

Role Summary

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

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.

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.

Job Details

Business Unit: RewardOps

Scheduled Weekly Hours: 37.5

Number of Openings Available: 1

Worker Type: Regular