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Data Science Product Manager

Job ID:
Customer Development
Toronto, Ontario
Date posted:

A highly technical and strategic role, the CI Data Science Product Manager will interface with internal and external partners and have overall responsibility for managing CI AI/ML products from its inception to deployment at scale.

Key responsibilities for the role are:

  • Lead and actively participate in requirement gathering sessions and work with other CI and business resources to fully document such requirements.

  • Participate in feasibility discussions and put forward design proposals for data science products/modules related to trade investment optimization and product management.

  • Lead formulation of data science tasks for trade optimization and shopper profiling.

  • Oversee development of ML and DS algorithms, testing and validation.

  • Oversee pre delivery quality assurance and automated load analysis.

  • Provide post rollout support for data science products.

  • Provide project management support including planning and documentation, daily project tracking, using agile methodology.

  • Support Head of CI with managing daily development tasks and resources.

  • Support Head of CI with project proposals, review and decision making for data science research initiatives and collaboration with external partners (academia, research institutions and government agencies).

  • Fully participate in agile ceremonies and provide direct contribution to Big Room Planning sessions in initiatives involving data science products run and managed by CI team.

  • Work closely with other team members and internal and external partners (NA/Global D&A, Market Uniops, Business Stakeholders, Third Party Vendors) to manage issue resolution and ensure timely communication. 

  • Participate in special projects.

What You Need to Succeed:

  • University Degree in Computer Science/Statistics/Math or similar – MSC in any of the above fields preferred

  • 3-5 years of experience in Data Science/Advanced Analytics with at least 2 years in managing DS products at scale

  • Experience in developing statistical and ML models, strong data and analytics skills, thorough knowledge of product development lifecycle is a must have.

  • In Depth knowledge of R/Python, SQL, Teras, TensorFlow and Docker Container is required.

  • Hands On practice in optimization models is preferred

  • Experience in working in an agile setting is preferred

  • Additionally, successful candidates will possess exceptional interpersonal and organizational skills, along with practical creativity and the ability to work independently.


Unilever Canada is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity or expression, age, national or ethnic origin, marital status, family status, disability, genetic characteristics, and a conviction for which a pardon has been granted.

If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at Please note: These lines are reserved for individuals with disabilities in need of assistance and are not a means of inquiry about positions or application statuses.

Unilever Canada est une organisation engagé à la diversité et à l'inclusion pour stimuler nos résultats d'affaires et créer un meilleur avenir chaque jour pour nos employés, les consommateurs globaux, les partenaires et les communautés. Nous croyons qu'un effectif diversifiée nous permet de faire correspondre nos ambitions de croissance et de stimuler l'inclusion dans l'entreprise. Tous les candidats qualifiés recevront la considération pour un emploi sans égard à la race, la couleur, la religion, le sexe, l'orientation sexuelle, l'identité ou l'expression de genre, l'âge, l'origine nationale ou ethnique, l'état matrimonial, la situation familiale, l'invalidité, les caractéristiques génétique, et une condamnation pour laquelle un pardon a été accordée.

Si vous êtes une personne handicapée qui a besoin d'aide à tout moment au cours de notre processus de recrutement, veuillez communiquer avec nous au Veuillez noter: ces lignes sont réservées aux personnes handicapées ayant besoin d'aide et ne sont pas un moyen d'enquêter sur les postes.

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