Compensation:$110,000 - $140,000 CAD per yearWhat You'll DoData Infrastructure & AnalyticsInfrastructure Ownership: Design, build, and maintain the enterprise data infrastructure, integrating 50+ data sources across marketing, finance, operations, and retail channels.BI & Dashboarding: Develop and maintain Looker dashboards and self‑serve analytics tools, driving adoption across departments and enabling data‑driven decision making at all levels.Data Pipeline Management: Build and optimize ETL/ELT pipelines using Azure Data Factory, ensuring data quality, reliability, and timely delivery of insights.Data Science & ModelingMarketing Analytics & Experimentation: Design, execute, and analyze geo‑experiments and A/B tests to measure incrementality and causal impact of marketing initiatives. Develop frameworks for ongoing incrementality measurement to optimize budget allocation across paid media, organic, and retail channels.NLP & AI Applications: Leverage LLMs, embedding models, clustering algorithms, and NLP techniques to automate customer feedback analysis, extract insights from reviews, and build AI‑powered tools for operational efficiency.Customer Analytics: Build customer lifetime value models, segmentation frameworks, and churn prediction models to inform retention and acquisition strategies.Analysis & ReportingPerformance Analytics: Conduct deep‑dive analyses on retail performance, e‑commerce trends, and omnichannel dynamics, including cannibalization studies and store performance attribution.Executive Reporting: Create and present strategic analyses to C‑suite executives, translating complex findings into clear recommendations and business impact.Forecasting: Develop demand forecasting models to support inventory planning, revenue projections, and resource allocation decisions.Cross‑Functional CollaborationMarketing Partnership: Partner with the marketing team to measure campaign effectiveness, optimize spend allocation, and develop attribution frameworks.Finance Integration: Collaborate with finance on revenue analytics,



margin analysis, and financial forecasting models.Operations Support: Provide analytical support to operations and retail teams, including inventory optimization, store performance analysis, and operational efficiency metrics.Vendor & Contractor Management: Manage relationships with external data vendors and oversee contractor teams for specialized projects.What We're Looking For5‑7 years of experience in data science, analytics, or data engineering. Experience in DTC e‑commerce, retail, or consumer products is a plus.Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.Strong proficiency in SQL and Python, with experience in statistical modeling, machine learning, and data manipulation libraries (pandas, scikit‑learn, etc.).Experience with cloud data platforms (Azure, Azure Data Factory, and Google Cloud preferred).Experience with version control and CI/CD (GitHub and GitHub Actions preferred).Hands‑on experience with BI tools (Looker preferred; Tableau or Power BI also accepted) and building self‑serve analytics solutions.Technical Depth: Experience with causal inference methods, geo‑testing frameworks, A/B test design, or LLM/Embedding models is highly valued.E‑commerce & ERP Systems: Experience working with Shopify and NetSuite ERP is preferred.Business Acumen: Ability to see beyond the numbers to understand the impact of data initiatives on customer experience, revenue, and operational efficiency.Communication: Excellent verbal and written communication skills with the ability to present complex analyses to technical and non‑technical stakeholders, including C‑suite executives.Self‑Starter: Comfortable working independently in a fast‑paced workplace, defining the data roadmap, and prioritizing initiatives with minimal oversight.What You'll GetCompetitive salary3 weeks paid vacationProfessional development opportunitiesExtended health benefits package including an EAP and a $500 annual Health & Wellness Spending Account40% Family & Friends DiscountFree Vessi productDog‑friendly office#J-18808-Ljbffr

📌 Senior Data Scientist - C$110,000 - C$140,000 A Year (Toronto)
🏢 Vessi
📍 Toronto