Data Scientist

Stoko; Vancouver; On-site; CAD 90,000 - 110,000; Full time

Job summary

A supportive apparel company based in Vancouver is seeking a skilled Data Scientist to lead and architect their data infrastructure. You will be responsible for managing the complete data lifecycle, including system integration and data warehousing. Applicants should have a Bachelor's degree in a relevant field and at least 3 years of experience in data science. This full-time role offers a dynamic work environment with perks such as health spending accounts and flexible schedules.

Benefits

Health spending account

Flexible schedules

Team bonding activities

Unlimited coffee

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or related field required.
• 3+ years of relevant experience in data roles.
• Mastery of SQL and Python is essential.

Responsibilities

• Lead the technical bridge between core business systems.
• Automate data flows to ensure clean, usable formats.
• Develop and maintain models for business planning and forecasting.

Skills

SQL

Python

Data Modeling (dbt)

Systems Integration

Education

Bachelor’s degree in Computer Science or related field

Tools

BigQuery

Snowflake

Shopify

Meta

Tatari

Job description

At Stoko, we know that life is better when we are able to do the activities we love. That’s why we’ve created the world’s first and only Supportive Apparel that’s proven to help people get active again and stay active for as long as possible. Based in Vancouver, British Columbia, we have assembled a multi-disciplinary team of dreamers, designers, and disruptors who are up for the challenge of creating a brand new consumer category and learning a thing or two along the way.

Sound like something you’d like to be a part of? Perfect, keep reading.

Start Date: February 2026

Compensation: $90,000 - 110,000 + Variable Compensation

About the Role: As the Data Scientist, you will be the technical lead and founding architect for Stoko's business infrastructure. You are responsible for the end-to-end lifecycle of our data - from the moment a customer clicks an ad to the final insight on a financial dashboard. You will own the tech stack's integrity, ensure our systems scale efficiently, and architect a centralized data warehouse that serves as our single source of truth. You will apply statistical rigor to build the predictive models and advanced analytics that turn raw data into strategic foresight, helping us understand not just where we’ve been, but exactly where we need to go next.

Roles & Responsibilities:

Technical Partnership & Systems Integration:

• Systems Interconnectivity & Health: Lead contributor responsible for the technical bridge between our core business systems in Marketing, Operations, and Finance, ensuring efficient integration and maintaining high-quality data flow across the organization.
• Integration Execution: Physically build, troubleshoot, and repair API integrations and system connections as needed.

Data Warehousing & Architecture:

• Warehouse Migration: Lead the transition from manual exports to a centralized data warehouse (e.g., BigQuery or Snowflake).
• ETL/ELT Logic: Automate data flows from Shopify, Meta, Tatari, etc. to ensure data is transformed into clean, usable formats.
• Data Hygiene: Own data quality across all platforms to ensure consistency and reliability for all stakeholders.

Advanced Business Intelligence & Forecasting:

• Dynamic Modelling: Develop and maintain models for business planning, forecasting, and scenario analysis.
• KPI Measurement: Build and maintain custom dashboards to measure and evaluate KPIs across all departments.
• Strategic Insights: Analyze operational performance data to identify gaps and provide actionable recommendations.

Stakeholder Collaboration:

• Cross-Functional Partnership: Work closely with Operations, Finance, Marketing, and Product to deliver data visibility and streamline key systems and processes.
• Technical Bridge: Serve as the bridge between technical systems and business users, translating needs into functional solutions.

Qualifications/Experience:

• Bachelor’s degree in Computer Science, Software Engineering, Data Science or Analytics, Information Systems, or related field/qualification.
• 3+ years of experience in indicated fields.
• Mastery of SQL, Python, and Data Modeling (dbt).
• Experience designing how disparate systems (CRM, ERP, Shopify) interact at scale.
• Deep understanding of Shopify, Meta, and TV attribution (Tatari).
• Ability to thrive in a fast-paced, entrepreneurial environment and balance strategic thinking with hands‑on execution.

Perks and Benefits:

We are a team that loves to laugh together, learn from each other, and take care of one another. As a full‑time employee at Stoko, you will be eligible to receive a health spending account to cover healthcare costs such as dental, vision care, RMT and more. Additionally, Stoko offers flexible schedules, unlimited coffee, team bonding, and an environment that fosters creativity, growth, and real responsibility.

Still excited? Awesome. Send us an email at [e-mail]! Please include a resume and a cover letter explaining why you’re excited and why you’re a great fit for our team.