Role Direct Reporting to: Associate Director, Media and Digital Engagement
Location: Toronto HQ
International assignment is not available for this role and relocation for local and international candidates is not provided
BACKGROUND & PURPOSE OF THE JOB
The purpose of this role is to manage data ecosystem in Canada and drive the change of how we use data in the organization. You will have an independent role and possibility to execute country data strategy that is a critical enabler for Marketing strategy in relation to improving both efficacy (audience creation and personalization) and efficiency (Rapid ROI). You will utilize tools to optimize data sources, build analytics models, and run analyses to ensure continuous focus on delivery of the business KPIs; up-to-date BI solutions across Canadian Business Units.
YOU'LL BE RESPONSIBLE FOR:
Develop advanced analytics and predictive models from design through implementation in the areas of pricing and promotion, marketing, merchandising, and other areas of the business as needed.
Participate in the research of analytical methods to find or advance solutions to business problems.
Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders.
Create analytic datasets in collaboration with relevant teams in data querying, cleaning, transformation, & feature engineering. Define requirements & tests for Data validation /monitoring.
Author programming code (SQL, Python, R, Spark) to assemble and analyze data, following/establishing/enhancing organizational standards and coding practices including code management. Lead and participate in peer code reviews for QA/QC/standards compliance.
Train/Mentor other team members, provide developmental support where necessary.
Follow defined Agile project management processes.
WHAT YOU WILL NEED TO SUCCEED
2+ years in AI model development and deployment leveraging at least 3 of the following capability areas: NLP, LLM, Prompt engineering, Neural networks, Deep Learning, and/or RAG.
Expertise in SQL and Python, as well a strong command of C, Java, and JavaScript programming languages.
Strong command of at least two of the following areas: Amazon Marketing Cloud (cleanroom), Data IKU, XGBoost forecasting model, and App development
EDUCATION
Master's in data science + internship in a data science analytics role, CPG experience preferred.
Facilitation and capability building skills. Able to contribute to a significant change program
Cross-cultural sensitivity and working capability with organizational change-agent mind-set
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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 NA.Accommodations@unilever.com. 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 NA.Accommodations@unilever.com. 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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