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Bold Commerce

Product Data Scientist – Consumer Behavior & Algorithms

Sorry, this job was removed at 04:12 a.m. (EST) on Wednesday, Sep 03, 2025
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Remote or Hybrid
Hiring Remotely in Toronto, ON
Remote or Hybrid
Hiring Remotely in Toronto, ON

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Who is Bold Commerce’s Shopify Division?

Since 2012, Bold’s Shopify Division has been at the forefront of Shopify app development, dedicated to fostering brand growth by boosting the platform’s 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 Austin’s Best Places to Work, Canada’s Top Employers for Young People, and Manitoba’s 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

We’re building something new and looking for a creative, curious, and impact-driven Data Scientist to help shape it. You’ll play a key role in developing the algorithm behind our latest Shopify app, using data to uncover consumer behaviour patterns and drive personalized, intelligent experiences.

We’re especially interested in candidates with a background in social sciences—people who go beyond the numbers to interpret behaviour, spot patterns, and apply a human lens to data.


What you’ll do

  • Directly impact the core functionality and user experience of a brand-new Shopify app
  • Partner with product and engineering teams to develop, refine, and optimize the core algorithm powering the app, actively contributing to insight discovery and product roadmapping.
  • Analyze merchant behaviour 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, focusing on actionable insights that inform strategic decisions.
  • Create visualizations and dashboards that track usage trends, behaviour 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 we’re 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 behavioural data
  • Experience building and refining algorithms, recommendation systems, or predictive models
  • Proficiency in Python, R, SQL, or similar tools for data analysis and modeling, with a demonstrated ability to translate complex data into clear, actionable insights for both technical and non-technical audiences
  • Experience producing decision-making tools—like research memos, behavioural deep dives, or experiment reports
  • Experience assisting with discovery and roadmapping alongside product and engineering teams
  • Curiosity, empathy, and a passion for understanding what drives people’s decisions

Bonus points if you have

  • Experience working with Shopify or ecommerce platforms
  • Familiarity with machine learning techniques, experimentation frameworks, or behavioural analytics
  • Prior work in early-stage product development or startup environments
  • Contributions to published business reviews, research papers, or case studies


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)

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

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