Who is Bold Commerces Shopify Division?

Since 2012, Bolds Shopify Division has been at the forefront of Shopify app development, dedicated to fostering brand growth by boosting the platforms capabilities with top-notch service. With over 760,000 merchants served, we remain dedicated to shaping the future of eCommerce within the Shopify ecosystem.

Named one of Built In Austins Best Places to Work, Canadas Top Employers for Young People, and Manitobas Top Employers, we're a dynamic team that truly cares about building the future of ecommerce. We live by the BUILDERS Code, a shared set of practices, beliefs, and values that help shape our 100% remote company.

With team members (Builders) located throughout Canada and the U.S., and backed by investors like OMERS Ventures, WhiteCap Venture Partners, and Round13 Capital, Bold is leading the way to a better ecommerce future.

About the role

Were building something newand were looking for a curious, creative, and impact-driven Data Scientist to join our team. This role will play a key part in shaping the algorithm behind our latest Shopify app, using data to better understand consumer behavior and drive intelligent, personalized outcomes.

Were especially interested in candidates with a background in social sciencespeople who dont just crunch numbers, but who can read between the lines, uncover behavioral patterns, and bring a human lens to data interpretation.

What Youll Do

• Partner with product and engineering teams to develop and refine the core algorithm powering the app
• Analyze merchant behavior and identify patterns that inform product and design decisions
• Build predictive models, recommendation systems, or scoring mechanisms to deliver personalized user experiences
• Design and execute experiments (A/B tests, multivariate testing) to validate hypotheses and measure impact
• Produce human-readable research reports and concise data briefs for internal stakeholders
• Translate complex data into clear, actionable insights for both technical and non-technical audiences
• Create visualizations and dashboards that track usage trends, behavior clusters, and performance of algorithmic features
• Support product iteration with both quantitative findings and qualitative insights from user data
• Think outside the box, how can we leverage the latest trends and technology to improve our products and increase time to value
  

What were looking for

• A strong foundation in data science, statistics, or a related quantitative field
• A background in social sciences (e.g., psychology, sociology, economics, anthropology) or statistics with experience applying that lens to human or behavioral data
• Experience building and refining algorithms, recommendation systems, or predictive models
• Proficiency in Python, R, SQL, or similar tools for data analysis and modeling
• A deep understanding of experimental design and statistical analysis
• Clear communication skills with a talent for storytelling through data
• Experience producing decision-making toolslike research memos, behavioral deep dives, or experiment reports
• A collaborative mindsetyou enjoy working cross-functionally with product, design, and engineering
• Curiosity, empathy, and a passion for understanding what drives peoples decisions
  

Bonus Points If You Have

• Experience working with Shopify or ecommerce platforms
• Familiarity with machine learning techniques, experimentation frameworks, or behavioral analytics
• Prior work in early-stage product development or startup environments

Our Investment in YOU!

Benefits designed to support your well-being and happiness:

• Competitive compensation that reflects your experience and skills
• Employer Paid Health & Dental Benefits, Virtual Care, & Disability top-up - starting day 1!
• Virtual mental health and EAP platform for support anytime
• Annual Health Benefit ($1,000 per year) to help you thrive!
• Working remotely - anywhere in Canada & the United States!
• Employee Options to help you grow with us!
• Flexible work hours
• Annual Bonus Program aligned to your Job Level
• Competitive paid vacation days (starting at 3 weeks)
• Employer Paid Employee & Family Assistance Program (EFAP)