Marketing Data Scientist

Job Description
At Sage, we are transforming the way businesses operate through cutting-edge technology and data-driven insights. As we continue to grow, we’re committed to leveraging data to drive smarter marketing decisions and deliver exceptional customer experiences.
We’re looking for a talented Marketing Data Scientist to join our Performance Marketing team. This role places you at the heart of transforming how Sage uses data to improve marketing performance, customer acquisition, engagement, and retention. Working alongside global and regional teams, you will design predictive models, run experiments, and provide actionable insights that will shape our data-driven marketing strategy at scale.
At Sage, you’ll be part of a global organisation driving innovation and digital transformation. You’ll work alongside passionate teams, have access to leading technologies, and contribute to shaping the future of data-driven marketing at scale. We offer:

• Competitive salary and benefits.
• Hybrid working model.
• Ongoing learning and career development opportunities.
• Inclusive and collaborative work culture.

Location: Hybrid – 3 days per week out of our Toronto office.
As a Marketing Data Scientist, you will:

• Build and deploy predictive models to improve campaign targeting, lead scoring, customer segmentation, and churn mitigation strategies.
• Apply advanced statistical and mathematical techniques to enhance audience segmentation and optimise conversion funnels.
• Operationalise models globally, ensuring seamless adoption and maintaining performance benchmarks.
• Design, execute, and analyse experiments such as A/B testing and uplift modelling to measure and optimise marketing effectiveness.
• Translate complex data into actionable insights that inform marketing strategies and go-to-market decisions.
• Deliver impactful dashboards, reports, and presentations tailored to stakeholders across different business functions.
• Collaborate with data engineering teams to improve marketing data infrastructure, ensuring quality, accessibility, and scalability.

Essential Skills & Experience

• Degree in Data Science, Statistics, Computer Science, Mathematics, or a related discipline.
• Experience in data science or advanced analytics, ideally within marketing or commercial settings.
• Strong understanding of statistical modelling, machine learning techniques, and experimental design.
• Proficiency in Python or R, SQL, and data visualisation tools.
• Experience using Amazon Bedrock AgentCore
• Excellent communication skills with the ability to influence non-technical stakeholders.
• Strategic thinker with a passion for solving business challenges using data-driven insights.

Plenty of perks:

• 100% paid premiums for health, dental, and vision coverage.
• RRSP contribution match (100% up to 4%).
• 35 days paid time off (11 paid holidays, 16 vacation days, 3 personal days, 5 sick days).
• 18 weeks of paid parental leave for birth, adoption, or surrogacy offered 1 year after the start date.
• 5 days paid yearly to volunteer (through Sage Foundation).
• $5,250 tuition reimbursement per calendar year starting 6 months after the hire date.
• Sage Wellness Rewards Program (annual fitness reimbursement).
• Library of on-demand career development options and ongoing training offerings.

Who is Sage:  https://www.sage.com/en-us/company/about-sage/
Life at Sage:  https://www.sage.com/en-us/company/careers/
Our Values & Behaviors:  https://www.youtube.com/watch?app=desktop&v=vt5JXf-Gwno&feature=youtu.be