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data scientist Toronto

Unilever

Full Time Toronto 61201 - 51006 CAD ANNUAL Today

Job description

Forecast engine utility (FEU) is the Unilever’s inhouse AI/ML based demand & promotion forecasting solution. Data Scientist (Innovation) role under FEU will be responsible for research and development of state of art large scale demand forecasting and promotion planning algorithms. Objective of this role is to improving forecast KPIs globally via scalable ML/AI methods. Key Responsibility of this role will be to develop innovative machine learning solutions for large scale demand forecasting solutions. These innovative ML models will have potential to scale across all Unilever market (100+ countries).

Who You Are and What You'll Do

Execute data science innovation topics for Forecast Engine Utility and Integrated Business operations to deliver global forecast KPIs
Research and develop algorithms/Model to improve large scale demand forecasting problem (+billions of timeseries). Build, maintain, and improve new and existing suite of algorithms and their underlying systems.
Document and Develop technical solutions aligned with business objectives; identify gaps between the current and desired end-states
Analyse the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability.
Engaging in strategic discussions to identify problems while measuring and improving the quality of workflows. Identify and implement opportunities to improve tooling and implementation of scalable solutions
Actively contribute to and re-use UL DS community best practices.
Contribute to the AI innovation and build thought leadership via publications/patents and presence in industry/academic conference. Further, actively contribute towards establish innovation team as thought leader in demand forecasting within the CPG industry.
Working in an agile environment with globally distributed teams.
Write efficient and well-organized ML based software to ship products in an iterative, continual-release environment.

What You'll Need to Succeed

3+ years of relevant experience with skills in Timeseries models, Machine Learning, Optimization and object-oriented programming with large data.
Bachelor's degree required; master's Preferred.

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

[email protected]

. 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

[email protected]

. Veuillez noter: ces lignes sont réservées aux personnes handicapées ayant besoin d'aide et ne sont pas un moyen d'enquêter sur les postes.