Senior Data Scientist

Compensation: $110,000 - $140,000 CAD per year

• Infrastructure 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.

• Marketing 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.

• Performance 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.

• Marketing 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.

• 5‑7 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 (Git Hub and Git Hub 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 Net Suite 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 environment, defining the data roadmap, and prioritizing initiatives with minimal oversight.

• Competitive salary
• 3 weeks paid vacation
• Professional development opportunities
• Extended health benefits package including an EAP and a $500 annual Health & Wellness Spending Account
• 40% Family & Friends Discount
• Free Vessi product
• Dog‑friendly office