Senior Data ScientistVessi Footwear • Vancouver, BC, Canada

Senior Data Scientist

Vessi Footwear • Vancouver, BC, Canada

Il y a 16 jours

Type de contrat

Temps plein

Description de poste

Job Description

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

What You'll Do :

Data Infrastructure & Analytics :

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.

Data Science & Modeling :

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.

Analysis & Reporting :

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.

Cross-Functional Collaboration :

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.

What We're Looking For :

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 (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 environment, defining the data roadmap, and prioritizing initiatives with minimal oversight.

What You'll Get :

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

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Senior Data Scientist • Vancouver, BC, Canada

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