152 Data Product jobs in Canada

Staff Product Data Analyst

Toronto, Ontario Big Viking Games

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Important:
This a full-time, hybrid role for Ontario-based employees only. The successful candidate will be required to work from our Toronto office (Queens Quay West) for a minimum of 3 days per week.

About Us:

Making fans - That’s what we’re all about! Since our humble beginnings in 2011, these two words have driven Big Viking Games to become the successful company it is today. We are focused on making our mark as a next-generation, live operations games company.

We believe that each Viking is unique and brings exponential value to the company. In return, we provide Vikings with the opportunity to solve problems through continuous learning and fostering feedback, ultimately mastering their craft. By investing in our Vikings and in new technologies, we can continue our success for years to come.

We are embarking on an adventure and rely on our team of skilled, enthusiastic, and collaborative Vikings to turn our ship towards a new horizon.

About the Role:

Big Viking Games is looking for a Staff Product Data Analyst to join our team and own analytics for our flagship titles—YoWorld and FishWorld. Embedded within our cross-functional product pods, you’ll partner with Product, Marketing, FP&A and Data to: evaluate player behaviour, refine monetization strategies, and architect predictive models, revenue forecasts, and agentic workflows that automate key live-ops processes.

Reporting into the Product org, this Staff-level role is ideal for someone who thrives in a fast-paced, hypothesis-driven environment and wants their dashboards, forecasts and automation to directly impact millions of players.

You’ll help drive smarter decisions across roadmap planning, feature development, campaign performance, and in-game economy optimization—while championing first-principles analytics, machine-learning pipelines, and self-serve data automation.

What You'll Do:

  • End-to-end analytics & modelling
    • Build and maintain dashboards (DAU, player spend, content performance, pricing effectiveness) for stakeholders across Product, Marketing and Finance.
    • Analyze player behaviour, campaign performance and monetization trends to inform roadmap and live-ops tuning.
    • Develop predictive models and forecasting pipelines (e.g. adoption curves, revenue projections, churn risk) using first-principles thinking.
  • Impact & experimentation
    • Lead A/B test design, impact analysis and lift measurement for Gem Events, Challenges, Reactivation Offers and new gameplay features (ex. SplashO, Storylines).
    • Partner with FP&A to quantify cost savings and migration impacts
  • Automation & scalability
    • Identify inefficiencies in IAP config, asset throughput and content velocity—recommend and build agentic workflows to streamline campaign planning and delivery.
    • Collaborate with Data Engineering to operationalize data pipelines, enable self-serve analytics and embed predictive insights into product dashboards.
  • Cross-functional thought partnership
    • Translate complex quantitative findings into clear, actionable recommendations for PMs, engineers and live-ops leads.
    • Evangelize next-gen analytics best practices, mentor junior analysts and shape our data-driven culture.

Requirements

The Must-Haves:

  • 6+ years in product, business or game analytics—ideally in mobile or live-ops gaming
  • Expert SQL skills; ability to wrangle messy data into clean, performant datasets
  • Proficiency in Python or R and experience with ML libraries (scikit-learn, TensorFlow, etc.)
  • Hands-on experience building and maintaining BI dashboards (Looker, Tableau, Power BI or similar)
  • Ability to blend descriptive analytics (“What happened? Why?”) with predictive insight (“What will happen? How can we optimize?”)
  • Proven track record applying first-principles thinking to build and validate forecasting and predictive models that drove measurable product or revenue impact (validating assumptions, testing holdout samples, iterating on feature engineering)
  • Ability to translate complex data insights into concise stories and actionable recommendations


The Nice-To-Haves:

    • Experience with in-game economy design or IAP configuration.
    • Familiarity with A/B testing frameworks (Optimizely, Firebase, custom tooling).
    • Background in automated data pipelines and agentic workflow tools.
    • Master’s degree in a quantitative field (Statistics, Economics, Computer Science) or equivalent experience.

Benefits

  • Competitive salary
  • Group Retirement Savings Plan matching & participation
  • Comprehensive benefits package (health, dental, and vision) including Health + Wellness spending account
  • Generous time off policies

Ready to set sail? Apply now and help steer our next wave of live-ops success!

Big Viking Games is committed to creating an inclusive and accessible environment for all candidates. We welcome applications from individuals of all abilities and will provide accommodations throughout the hiring process as needed. If you require any accommodations, please email so we can work with you to support your needs.

This advertiser has chosen not to accept applicants from your region.

Product Data Analyst - Tooling

Walter Surface Technologies Incorporated

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Reporting to: Product Manager & Business Development - Tooling

Location: Pointe-Claire, QC

Bring your creativity and fresh thinking to an iconic brand owned by Onex ($31B assets) that has been trusted for its high quality and innovation since 1952. For over 70 years, Walter Surface Technologies has been a world leader in surface treatment technologies providing high performance abrasives, tools, power tools, chemical solutions, safety solutions, and welding process solutions specifically designed for the metalworking industry. Our core philosophy is focused on helping customers work better and achieve greatness with the best technology, the best products, the best performance, the best safety, and the best durability - all designed to increase their productivity and profitability.

Bring your creativity to an iconic brand in the metalworking industry!

Walter Surface Technologies, a manufacturer of specialty products for the metalworking industry, is looking for a Product Data Analyst - Tooling to support its North American operations. Join a fast-paced and collaborative environment, working side-by-side with a team of driven and passionate marketers.


Job Summary:

The Product Data Analyst – Tooling is responsible for assisting the Product Manager to manage a product line representing $130M+. This position is focused on creating efficiencies and continuous improvement initiatives within the Cutting Tools Division, with a primary emphasis on improving documentation practices, maintaining accurate product specifications, and ensuring compliance with industry standards. Strong organizational skills are a must to centralize multiple systems of data for fulfilling business requests. The position will also contribute to the development of training materials to support our sales representatives and distribution partners as well as supporting product development. Responsibilities will evolve to align with business needs and the individual’s strengths and interests.

Responsabilities :

Product Data Management & Analysis

  • Maintain, update, and structure the product database for the tooling category (e.g., drill bits, taps, end mills, burs, annular cutters, magnetic drills).
  • Develop, validate, and manage Excel-based tools containing detailed product specifications and technical data.
  • Ensure high levels of accuracy and consistency across product-related documentation.
  • Analyze data to identify trends, gaps, and opportunities in product positioning.
  • Lead the tooling division in the organization and management of product data.

Documentation & Support

  • Create and maintain comprehensive documentation and product data sheets for internal and customer-facing use.
  • Respond to business requests relating to tooling data by pulling information from multiple systems containing needed information.

Cross-Functional Collaboration

  • Assist the product team in preparing training materials and tools for internal sales and technical teams.
  • Contribute to new product development projects by providing structured data inputs and organizing technical requirements.
  • Coordinate with manufacturing, marketing, purchasing and finance teams to ensure product data integrity across platforms.


Knowledge Skills & Abilities:

Must-Haves:

  • Proficiency in Microsoft Excel (functions, pivot tables, data validation, formatting).
  • Exceptional attention to detail and ability to structure large datasets logically.
  • Strong organizational skills and a disciplined approach to document and data management.
  • Eagerness to learn about industrial tools and their technical specifications.

Nice-to-Haves:

  • Exposure to product lifecycle management or industrial product data environments.
  • Basic understanding of mechanical or technical product features.
  • Familiarity with database tools or ERP systems is an asset.

Experience & Education:

  • University degree in business, marketing or engineering
  • Bilingual (French and English) needed for support of internal & external clients internationally.

This advertiser has chosen not to accept applicants from your region.

Product Data Analyst - Tooling

Walter Surface Technologies Incorporated

Posted today

Job Viewed

Tap Again To Close

Job Description

Job Description

Job Description

Reporting to: Product Manager & Business Development - Tooling

Location: Pointe-Claire, QC

Bring your creativity and fresh thinking to an iconic brand owned by Onex ($31B assets) that has been trusted for its high quality and innovation since 1952. For over 70 years, Walter Surface Technologies has been a world leader in surface treatment technologies providing high performance abrasives, tools, power tools, chemical solutions, safety solutions, and welding process solutions specifically designed for the metalworking industry. Our core philosophy is focused on helping customers work better and achieve greatness with the best technology, the best products, the best performance, the best safety, and the best durability - all designed to increase their productivity and profitability.

Bring your creativity to an iconic brand in the metalworking industry!

Walter Surface Technologies, a manufacturer of specialty products for the metalworking industry, is looking for a Product Data Analyst - Tooling to support its North American operations. Join a fast-paced and collaborative environment, working side-by-side with a team of driven and passionate marketers.


Job Summary:

The Product Data Analyst – Tooling is responsible for assisting the Product Manager to manage a product line representing $130M+. This position is focused on creating efficiencies and continuous improvement initiatives within the Cutting Tools Division, with a primary emphasis on improving documentation practices, maintaining accurate product specifications, and ensuring compliance with industry standards. Strong organizational skills are a must to centralize multiple systems of data for fulfilling business requests. The position will also contribute to the development of training materials to support our sales representatives and distribution partners as well as supporting product development. Responsibilities will evolve to align with business needs and the individual’s strengths and interests.

Responsabilities :

Product Data Management & Analysis

  • Maintain, update, and structure the product database for the tooling category (e.g., drill bits, taps, end mills, burs, annular cutters, magnetic drills).
  • Develop, validate, and manage Excel-based tools containing detailed product specifications and technical data.
  • Ensure high levels of accuracy and consistency across product-related documentation.
  • Analyze data to identify trends, gaps, and opportunities in product positioning.
  • Lead the tooling division in the organization and management of product data.

Documentation & Support

  • Create and maintain comprehensive documentation and product data sheets for internal and customer-facing use.
  • Respond to business requests relating to tooling data by pulling information from multiple systems containing needed information.

Cross-Functional Collaboration

  • Assist the product team in preparing training materials and tools for internal sales and technical teams.
  • Contribute to new product development projects by providing structured data inputs and organizing technical requirements.
  • Coordinate with manufacturing, marketing, purchasing and finance teams to ensure product data integrity across platforms.


Knowledge Skills & Abilities:

Must-Haves:

  • Proficiency in Microsoft Excel (functions, pivot tables, data validation, formatting).
  • Exceptional attention to detail and ability to structure large datasets logically.
  • Strong organizational skills and a disciplined approach to document and data management.
  • Eagerness to learn about industrial tools and their technical specifications.

Nice-to-Haves:

  • Exposure to product lifecycle management or industrial product data environments.
  • Basic understanding of mechanical or technical product features.
  • Familiarity with database tools or ERP systems is an asset.

Experience & Education:

  • University degree in business, marketing or engineering
  • Bilingual (French and English) needed for support of internal & external clients internationally.

This advertiser has chosen not to accept applicants from your region.

Product Data Manager - Ecommerce

Montréal, Quebec FortNine

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Job Description

Job Description

Job Description

FortNine is a rapidly growing motorcycle and powersports e-commerce company. Join a team of multidisciplinary experts passionate about making an impact on the industry and redefining how people shop in Canada!

At FortNine, the Product Data Manager is at the heart of our e-commerce. You’re an online pro, comfortable navigating and obtaining data all over the internet. As we continue growing, so do the number of items we have available; you’d play a pivotal role in setting up new products, maintaining product data to be used for our ecommerce platform, managing listings, optimizing product visibility, and analyzing data that will contribute to continuing our market dominance.

We’re looking for someone that is technologically comfortable, experienced in navigating multiple programs with speed and precision, and who has a measure of curiosity in learning more about the powersports space. No existing powersports knowledge required (although welcomed)! We’ll provide you with all the tools and resources necessary to your success, and in becoming a fully-fledged FortNiner! If you enjoy working in a tech-focused e-commerce, with an inclusive community that has an emphasis on fostering and developing its people, you’ll fit right in. Get in touch! We’d love to meet.

Please note: This is an entry level role ! We're hoping to invest in and develop our staff by providing comprehensive training, a great learning environment, and exposing you to the greater world of e-commerce! Any and all tech-savvy candidates are invited to apply. 

Major Responsibilities:

  • Selecting new products to be added to our website.
  • Preparing data feeds for new products being added to our website using information collected from various sources, while maintaining accurate and up-to-date product information for current products.
  • Organizing and enhancing product data to assist customers in understanding the difference between various products.
  • Resolving catalog/data issues, including missing or outdated information, erroneous images, among others.

Job Requirements:

  • Understanding of e-commerce shopping. You have your favorite online stores, and you know why you like them.
  • Proficiency in spreadsheets (Microsoft Excel) required. You know what formulas and macros are, and possess a basic understanding of best practices!
  • Very strong computer and internet browser/data manipulation skills (ctrl-c and ctrl-v are in your muscle memory. Googling is an action verb.)
  • Must be based locally (Montreal, QC).
  • English: Excellent written and verbal skills.
  • Bonus: Knowledge of SQL or any type of scripting, basic familiarity with CSS and HTML.
  • Bonus: Knowledge of the automotive, marine, cycling and/or powersports industry

What we offer:

  • Starting Salary for this position is between $45 000 - $50 000 a year.
  • Paid personal days.
  • Health Insurance including medical, dental, vision and life.
  • Unlimited free healthy snacks and drinks on site.
  • Quiet, clean and newly built office environment.
  • Located within a 5-minute walk from Du College station (orange line) and offering free parking.
  • Ergonomic workstations and the best tools made available to you.
  • Hard working, respectful and friendly coworkers.
  • Free parking or easy access via public transit.
  • A strong culture that encourages collective accomplishments and enables individual progression. We have great parties.

--- Version Française ---

FortNine est une entreprise de commerce électronique de motos et de sports motorisés en pleine croissance. Joignez-vous à une équipe d'experts multidisciplinaires passionnés par l'idée d'avoir un impact sur l'industrie et de redéfinir la façon dont les gens font leurs achats au Canada.

Chez FortNine, le gestionnaire de produits est au cœur de notre commerce électronique. Vous êtes un pro de l'Internet, à l'aise pour naviguer et obtenir des données en ligne. Vous jouerez un rôle central dans la mise en place de nouveaux produits, dans le maintien des données de produits à utiliser sur notre plateforme de commerce électronique, dans la gestion des annonces, dans l'optimisation de la visibilité des produits, et dans l'analyse des données qui contribueront à maintenir notre position dominante sur le marché.

Nous recherchons une personne à l'aise avec la technologie, expérimentée dans la navigation de plusieurs programmes avec rapidité et précision, et qui a une certaine curiosité pour en apprendre davantage sur l'espace des sports motorisés. Aucune connaissance préalable des sports motorisés n'est requise ! Nous vous fournirons tous les outils et les ressources nécessaires à votre succès, et à devenir un FortNiner à part entière ! Si vous aimez travailler dans un e-commerce axé sur la technologie, avec une communauté inclusive qui met l'accent sur l'encouragement et le développement de son personnel, vous vous intégrerez parfaitement. Contactez-nous! Nous serions ravis de vous rencontrer.

Responsabilités Principales :

  • Sélection de nouveaux produits à ajouter sur notre site web.
  • Préparer les flux de données pour les nouveaux produits ajoutés à notre site Web en utilisant les informations recueillies auprès de diverses sources, tout en maintenant des informations précises et à jour pour les produits actuels.
  • Organiser et améliorer les données sur les produits pour aider les clients à comprendre la différence entre les différents produits.
  • Résoudre les problèmes de catalogue/données, notamment les informations manquantes ou périmées, les images erronées, entre autres.

Exigences du poste :

  • Compréhension des achats en ligne. Vous avez vos boutiques en ligne préférées, et vous savez pourquoi vous les aimez.
  • Compétences informatiques supérieures avec une certaine maîtrise des feuilles de calcul (Excel) requises.
  • Très bonnes compétences en matière de navigation Internet et de manipulation des données (ctrl-c et ctrl-v sont dans votre mémoire musculaire).
  • Anglais : Excellentes compétences écrites et verbales.
  • Doit être basé localement (Montréal, QC).
  • Bonus : Connaissance de SQL ou de tout type de script, connaissance de base de CSS et HTML.
  • Bonus : Connaissance de l'industrie automobile, marine, cycliste, et/ou des sports motorisés.

Ce que nous offrons :

  • Le salaire de départ pour ce poste se situe entre 45 000 et 50 000 dollars par année.
  • Journées personnelles payées
  • Assurance santé comprenant une assurance médicale, dentaire, vision et vie
  • Des collations et des boissons saines
  • Environnement de bureau calme, propre et récemment construit
  • Situé à 5 minutes à pied de la station Du College (ligne orange) et offrant un parking gratuit
  • Des postes de travail ergonomiques et les meilleurs outils mis à votre disposition.
  • Collègues travailleurs, respectueux et amicaux.
  • Stationnement gratuit ou accès facile par les transports en commun
  • Une culture forte qui encourage les réalisations collectives et permet la progression individuelle. Nos fêtes sont superbes.

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Product Data Manager - Defender Industries (Marine)

Montréal, Quebec FortNine

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Job Description

Job Description

Job Description

FortNine is a rapidly growing motorcycle, marine and powersports e-commerce company. Join a team of multidisciplinary experts passionate about making an impact on the industry and redefining how people shop in Canada!

At FortNine, the Product Data Manager is at the heart of our e-commerce. You’re an online pro, comfortable navigating and obtaining data all over the internet. As we continue growing, so do the number of items we have available; you’d play a pivotal role in setting up new products, maintaining product data to be used for our ecommerce platform, managing listings, optimizing product visibility, and analyzing data that will contribute to continuing our market dominance.

We’re looking for someone that is technologically comfortable, experienced in navigating multiple programs with speed and precision, and who has a n interest in the Marine space. We’ll provide you with all the tools and resources necessary to your success, and in becoming a fully-fledged FortNiner! If you enjoy working in a tech-focused e-commerce, with an inclusive community that has an emphasis on fostering and developing its people, you’ll fit right in. Get in touch! We’d love to meet.

Please note: This is an entry level role ! We're hoping to invest in and develop our staff by providing comprehensive training, a great learning environment, and exposing you to the greater world of e-commerce! Any and all tech-savvy candidates are invited to apply. 

Major Responsibilities:

  • Selecting new products to be added to our website.
  • Preparing data feeds for new products being added to our website using information collected from various sources, while maintaining accurate and up-to-date product information for current products.
  • Organizing and enhancing product data to assist customers in understanding the difference between various products.
  • Resolving catalog/data issues, including missing or outdated information, erroneous images, among others.

Job Requirements:

  • Knowledge of the Marine industry, a strong asset.
  • Understanding of e-commerce shopping. You have your favorite online stores, and you know why you like them.
  • Proficiency in spreadsheets (Microsoft Excel) required. You know what formulas and macros are, and possess a basic understanding of best practices!
  • Very strong computer and internet browser/data manipulation skills (ctrl-c and ctrl-v are in your muscle memory. Googling is an action verb.)
  • Must be based locally (Montreal, QC).
  • English: Excellent written and verbal skills.
  • Bonus: Knowledge of SQL or any type of scripting, basic familiarity with CSS and HTML.

What we offer:

  • Starting Salary for this position is between $45 000 - $50 000 a year.
  • Paid personal days.
  • Health Insurance including medical, dental, vision and life.
  • Unlimited free healthy snacks and drinks on site.
  • Quiet, clean and newly built office environment.
  • Located within a 5-minute walk from Du College station (orange line) and offering free parking.
  • Ergonomic workstations and the best tools made available to you.
  • Hard working, respectful and friendly coworkers.
  • Free parking or easy access via public transit.
  • A strong culture that encourages collective accomplishments and enables individual progression. We have great parties.

Powered by JazzHR

EUx1W1a7mu

This advertiser has chosen not to accept applicants from your region.

Product Data Scientist Consumer Behavior & Algorithms

Winnipeg, Manitoba Bold Commerce

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Job Description

Job Description

Salary:

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 new and looking for a creative, curious, and impact-driven Data Scientist to help shape it. Youll 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.


Were especially interested in candidates with a background in social sciencespeople who go beyond the numbers to interpret behaviour, spot patterns, and apply a human lens to data.

What youll 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 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 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 toolslike 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 peoples 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)

remote work

This advertiser has chosen not to accept applicants from your region.

Product Data Scientist Consumer Behavior & Algorithms

Calgary, Alberta Bold Commerce

Posted today

Job Viewed

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Job Description

Job Description

Job Description

Salary:

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 new and looking for a creative, curious, and impact-driven Data Scientist to help shape it. Youll 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.


Were especially interested in candidates with a background in social sciencespeople who go beyond the numbers to interpret behaviour, spot patterns, and apply a human lens to data.

What youll 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 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 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 toolslike 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 peoples 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)

remote work

This advertiser has chosen not to accept applicants from your region.
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Product Data Scientist Consumer Behavior & Algorithms

Toronto, Ontario Bold Commerce

Posted today

Job Viewed

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Job Description

Job Description

Job Description

Salary:

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 new and looking for a creative, curious, and impact-driven Data Scientist to help shape it. Youll 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.


Were especially interested in candidates with a background in social sciencespeople who go beyond the numbers to interpret behaviour, spot patterns, and apply a human lens to data.

What youll 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 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 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 toolslike 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 peoples 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)

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Senior Technical Product Manager - Data Platform

Montréal, Quebec Coveo

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Job Description

Job Description

Job Description

Drive Coveo towards innovation and relevance!

As a Senior Technical Product Manager, you'll play a critical role in shaping Coveo's data and machine learning infrastructure. Our AI-powered platform relies on cutting-edge data acquisition, processing, and storage architectures to deliver intelligent, real-time experiences to end-users. Your mission? Define a technology vision and roadmap to propel our platform into the future.

If you're excited about enabling teams to build the right solutions, collaborating across foundational R&D units, and equipping product teams with the data capabilities they need to push our competitive edge, let's talk!

Here's what makes this opportunity exciting:

Coveo is a leader in AI-driven relevance, helping global enterprises optimize digital experiences. Our Data Platform ingests vast amounts of data, transforms it into actionable insights, and fuels our AI-powered solutions. In this role, you will drive innovation, scalability, and cost-effectiveness across our data stack, impacting the entire organization.

If you're passionate about bridging the gap between data, ML, and business impact, this is your chance to make a real difference!

Here's what you'll be responsible for:
  • Defining and driving the product roadmap for Coveo's Data Platform, ensuring alignment with business goals and technical vision.
  • Researching industry trends and customer needs to inform product decisions and prioritize impactful initiatives.
  • Collaborating with internal stakeholders—engineering, product, and business teams—to provide reliable and scalable data solutions.
  • Partnering with Product Marketing and Customer Success to effectively communicate data changes and mitigate customer impact.
  • Advocating for data self-serve models and data platform capabilities that empower teams across Coveo.
Here's what will qualify you for the role:
  • 5+ years of product management experience in a SaaS environment, with deep expertise in data ingestion pipelines, data platforms, cloud solutions (ideally AWS), and data infrastructure.
  • Familiarity with cloud-based data storage, transformation, and governance solutions such as Snowflake or Databricks.
  • Strong analytical mindset, with the ability to define and measure success through data-driven metrics, and excellent communication skills, enabling alignment between technical and non-technical stakeholders.
Here's what will make you stand out from the crowd:
  • You thrive in a fast-paced, innovative environment and excel at translating technical challenges into strategic opportunities.
  • You have hands-on experience with large-scale data processing, data workflows, or AI-driven analytics.
  • You're passionate about fostering collaboration between data teams, engineers, and business leaders.

Do you think you can bring this role to life?

You don't need to check every single box, we know passion goes a long way, and we appreciate that skillsets are transferable. We want to hear from you! Join the Coveolife !

We encourage all qualified candidates to apply, regardless of age, gender, disability, gaps in CV, or national or ethnic background. We know that applying for a new role takes time, and we truly appreciate your effort.

#li-hybrid #li-remote

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