Position Snapshot
Business areas: Nestlé Canada
Job title: Specialist Product Ownership - Data Science (1-year contract)
Location: North York, ON located at 25 Sheppard Ave W, North York, ON M2N 6S8;
Hybrid
A little bit about us
While Nestlé is known for KitKat, Gerber, Nescafe, and Häagen-Dazs, our recipe for success comes down to one thing: our people.
We strive to lead a people-focused culture that empowers employees to bring their authentic selves to work each day. There are 3,000+ members of Nestlé Canada celebrated for taking action using agility, courage, and trust to find solutions that benefit the business or greater good. We’re a team of changemakers, who are curious and challenge the status quo, that take risks that will help drive us forward.
Our focus is not only on nourishing our customers, but also about enriching you. We know that empowerment leads to strong employee engagement, a great work culture, and motivated employees.
Position Summary
We are seeking a professional to leverage AI and decision science to develop mathematical solutions that address business needs, enhance value, and facilitate process transformation. This role involves managing the delivery of these solutions and translating business challenges into analytical insights using forecasting, machine learning, generative AI, optimization, simulation, and various AI methodologies.
A day in the life of a Specialist Product Ownership - Data Science:
AI Service Delivery & Business Impact:
Delivery of AI-driven mathematical solutions that enhance business value and streamline processes
Prompt and efficient response to business challenges using AI methodologies that lead to process improvements and increased efficiency
Stakeholder Management & People Transformation:
Communication of AI findings and recommendations with businesses and functional SMEs in non-technical language
Facilitate change management through engagement with stakeholders to foster understanding and adoption of AI-driven processes
People Management:
Foster a culture of innovation and continuous learning among the team of data engineers and AI specialists
Drive the upskilling of team members in AI methodologies
Role Requirements
Master’s degree in applied Statistics, Mathematics, Computer Science, AI, or a related field
Minimum 3 years working with BIG or complex data sets in a statistical/analytical/AI role
Proficient in AI & data visualization techniques (e.g., Python, Spark, R, MS Power BI, and open source)
Proven experience in developing algorithms and predictive models using AI methodologies
Experience with Generative AI and OpenAI technologies
Experience in development lifecycle of solution and migration and testing strategies
Knowledge of agile, scrum, hackathon, and design thinking methodologies
Desirable skills:
Experience in R programming, Python, and Information Modelling/ETL within SQL
Business knowledge in “FMCG/CPG” OR “Retail” industry
Benefits
Flexible and hybrid work arrangements
Excellent training and development programs as well as opportunities to grow within the company
Access to the Discount Company store with Nestlé, Nespresso, and Purina products (Located across various Nestle offices/sites)
Additional discounts on a variety of products and services offered by our preferred vendors and partnerships
What you need to know
We will be considering applicants as they apply, so please don’t delay in submitting your application.
Nestlé Canada is an equal-opportunity employer committed to diversity, equity, inclusion, and accessibility. We welcome qualified applicants to bring their diverse and unique experiences as a result of their education, perspectives, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, colour, religion, disability, sexual orientation and beliefs.
If you are selected to participate in the recruitment process, please inform Human Resources of any accommodations you may require. Nestlé will work with you in an effort to ensure that you are able to fully participate in the process.
Position Snapshot
Business areas: Nestlé Canada
Job title: Specialist Product Ownership - Data Science (1-year contract)
Location: North York, ON located at 25 Sheppard Ave W, North York, ON M2N 6S8;
Hybrid
A little bit about us
While Nestlé is known for KitKat, Gerber, Nescafe, and Häagen-Dazs, our recipe for success comes down to one thing: our people.
We strive to lead a people-focused culture that empowers employees to bring their authentic selves to work each day. There are 3,000+ members of Nestlé Canada celebrated for taking action using agility, courage, and trust to find solutions that benefit the business or greater good. We’re a team of changemakers, who are curious and challenge the status quo, that take risks that will help drive us forward.
Our focus is not only on nourishing our customers, but also about enriching you. We know that empowerment leads to strong employee engagement, a great work culture, and motivated employees.
Position Summary
We are seeking a professional to leverage AI and decision science to develop mathematical solutions that address business needs, enhance value, and facilitate process transformation. This role involves managing the delivery of these solutions and translating business challenges into analytical insights using forecasting, machine learning, generative AI, optimization, simulation, and various AI methodologies.
A day in the life of a Specialist Product Ownership - Data Science:
AI Service Delivery & Business Impact:
Delivery of AI-driven mathematical solutions that enhance business value and streamline processes
Prompt and efficient response to business challenges using AI methodologies that lead to process improvements and increased efficiency
Stakeholder Management & People Transformation:
Communication of AI findings and recommendations with businesses and functional SMEs in non-technical language
Facilitate change management through engagement with stakeholders to foster understanding and adoption of AI-driven processes
People Management:
Foster a culture of innovation and continuous learning among the team of data engineers and AI specialists
Drive the upskilling of team members in AI methodologies
Role Requirements
Master’s degree in applied Statistics, Mathematics, Computer Science, AI, or a related field
Minimum 3 years working with BIG or complex data sets in a statistical/analytical/AI role
Proficient in AI & data visualization techniques (e.g., Python, Spark, R, MS Power BI, and open source)
Proven experience in developing algorithms and predictive models using AI methodologies
Experience with Generative AI and OpenAI technologies
Experience in development lifecycle of solution and migration and testing strategies
Knowledge of agile, scrum, hackathon, and design thinking methodologies
Desirable skills:
Experience in R programming, Python, and Information Modelling/ETL within SQL
Business knowledge in “FMCG/CPG” OR “Retail” industry
Benefits
Flexible and hybrid work arrangements
Excellent training and development programs as well as opportunities to grow within the company
Access to the Discount Company store with Nestlé, Nespresso, and Purina products (Located across various Nestle offices/sites)
Additional discounts on a variety of products and services offered by our preferred vendors and partnerships
What you need to know
We will be considering applicants as they apply, so please don’t delay in submitting your application.
Nestlé Canada is an equal-opportunity employer committed to diversity, equity, inclusion, and accessibility. We welcome qualified applicants to bring their diverse and unique experiences as a result of their education, perspectives, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, colour, religion, disability, sexual orientation and beliefs.
If you are selected to participate in the recruitment process, please inform Human Resources of any accommodations you may require. Nestlé will work with you in an effort to ensure that you are able to fully participate in the process.
