Senior Data Science Manager leading a team of data scientists to drive marketing analytics at Reddit. Focused on strategic insights and data - driven decision making for marketing efforts.
About the role
- Data Scientist focusing on advanced analytics and predictive modeling for marketing operations at Fullsteam. Collaborating with teams to optimize marketing strategies and improve campaign performance.
Responsibilities
- Develop data models, dashboards, and reports to measure marketing campaign performance, lead conversion, and ROI.
- Partner with marketing operations and sales teams to define KPIs and improve lead scoring, funnel health, and attribution models.
- Design and implement experiments (A/B testing, multivariate testing) to guide marketing optimization.
- Analyzes marketing data to identify trends, opportunities and risks.
- Build predictive models for lead scoring, churn prediction, segmentation, and customer lifetime value.
- Apply machine learning techniques to identify patterns and improve targeting, personalization, and engagement.
- Develop forecasting models for pipeline contribution and campaign performance.
- Work with data engineering and system admins to ensure high-quality data across Salesforce, Account Engagement, and other marketing systems.
- Establish data hygiene and enrichment processes to improve segmentation and targeting accuracy.
- Contribute to data governance best practices and compliance with privacy regulations.
- Partner with Marketing Operations team to embed analytics into campaign planning and reporting.
- Collaborate with Sales Operations to align marketing insights with pipeline and revenue goals.
- Present insights and recommendations to leadership in a clear, actionable format.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Marketing Analytics, or related field.
- 3+ years of experience in data science, marketing analytics, or related field.
- Experience with B2B and/or multi-brand marketing environments.
- Excellent communication skills with ability to explain complex data insights to business stakeholders.
Benefits
- Medical
- Extended Health and LTD plan
- Dental
- Vision
- RRSP (with employer match)
- Health Spending Account
- Flexible paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Scientist enhancing Reddit's user experience through data - driven projects. Collaborating with teams to analyze and model data for insights and strategies.
Data Scientist driving product strategy and user engagement at Reddit. Analyzing data and collaborating with teams to enhance user experiences in online communities.
Staff Data Scientist leading strategy and execution for marketing intelligence efforts at Reddit. Focus on optimizing marketing spend and measuring effectiveness for long - term growth.
Data Scientist on Aviva's Fraud Data Science team transforming large datasets into actionable insights. Designing and deploying machine learning models to enhance fraud detection capabilities.
Data Science Student undertaking challenging work assignments in analytics and machine learning at PCL. Collaborating under supervision in a supportive environment for personal and professional growth.
LP
Data Scientist
LinkedIn Recruiter Post
Contract Data Scientist role with a top banking client in Toronto, hybrid onsite 2 - 3 days/week, until Oct 2026.
Analytics Lead driving measurement and analytics for BlueThrone's profitable mobile app portfolio. Leading hands - on analytics, BI team, and cross - functional partnerships for performance optimization.
Environmental Data Manager leading development and optimization of data systems across Canada and internationally at SLR Consulting. Ensuring accessible, high - quality data for project teams.
LP
Data Scientist
LinkedIn Recruiter Post
Hiring a Data Scientist for a long - term contract in Toronto, ON. Must have experience in Banking, GenAI, Capital Markets, OpenAI, Python, and ML.