About the role
About the role:
We are seeking an intermediate-level Econometrics Statistician specializing in Marketing Mix Modelling (MMM) and data science. This position is responsible for running monthly and quarterly models for multiple business categories. You will integrate diverse datasets—point-of-sale (POS) performance, media investment, PR impressions, seasonality, and brand equity tracking—to deliver actionable business insights. A high level of proficiency in Python, data API utilization, and advanced data cleansing is required.
You'll be responsible for:
- Build, execute, and refine marketing mix models (MMM) across multiple business units, delivering monthly and quarterly reporting to stakeholders
- Integrate large, disparate datasets including POS sales, media spend, PR activity, seasonality, and brand tracking, ensuring all sources are accurate, timely, and modelling-ready
- Conduct detailed data extraction, transformation, validation, and extensive data cleansing to support robust statistical modelling
- Automate ingestion and management of data feeds using APIs and Python for efficient, repeatable processes
- Apply advanced econometric and statistical techniques to quantify drivers of sales and track performance across channels
- Present model findings and actionable recommendations to business stakeholders; translate complex outcomes into clear business narratives
- Collaborate with cross-functional teams including category managers, finance, and marketing to ensure business alignment with modelling insights
- Maintain rigorous documentation on modelling methodology, variable selection, and process flows for audit and knowledge-sharing purposes
- Stay current on best practices in data science, machine learning, and MMM methodology.
Requirements:
- Bachelor’s or Master’s degree in Statistics, Econometrics, Mathematics, Data Science, or a related quantitative field
- 3+ years proven experience in marketing mix modelling, econometric/statistical analysis, or marketing analytics delivery in a business context
- Advanced proficiency in Python, including data science libraries (pandas, numpy, scikit-learn, statsmodels)
- Demonstrated expertise in data cleansing, preprocessing, and API-based data integration
- Experience working with large, multi-source datasets including sales, advertising, media, and brand data
- Strong analytical skills and practical knowledge of statistical and machine learning methods relevant to MMM.
- Excellent communication skills: ability to explain technical results to both technical and non-technical audiences
- Experience with data visualization tools (Looker, Power BI, or similar) is a plus
- Professional curiosity and collaborative outlook; comfortable working in fast-paced, dynamic environments.
Preferred Qualifications:
- Experience integrating and modelling brand equity, media, and PR data within MMM frameworks.
- Familiarity with retail category management and/or working across multiple CPG business units.
- Experience with other analytical tools such as R or SQL.
This role is ideal for a hands-on statistician enthusiastic about leveraging advanced econometric tools for real-world marketing and business optimization.
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.
About Unilever
Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best.
Our portfolio ranges from nutritionally balanced foods to indulgent ice creams, affordable soaps, luxurious shampoos and everyday household care products. We produce world-leading brands including Lipton, Knorr, Dove, Axe, Hellmann’s and Omo, alongside trusted local names and innovative-forward thinking brands like Ben & Jerry’s, The Dollar Shave Club and Dermalogica.
Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.
About the role
About the role:
We are seeking an intermediate-level Econometrics Statistician specializing in Marketing Mix Modelling (MMM) and data science. This position is responsible for running monthly and quarterly models for multiple business categories. You will integrate diverse datasets—point-of-sale (POS) performance, media investment, PR impressions, seasonality, and brand equity tracking—to deliver actionable business insights. A high level of proficiency in Python, data API utilization, and advanced data cleansing is required.
You'll be responsible for:
- Build, execute, and refine marketing mix models (MMM) across multiple business units, delivering monthly and quarterly reporting to stakeholders
- Integrate large, disparate datasets including POS sales, media spend, PR activity, seasonality, and brand tracking, ensuring all sources are accurate, timely, and modelling-ready
- Conduct detailed data extraction, transformation, validation, and extensive data cleansing to support robust statistical modelling
- Automate ingestion and management of data feeds using APIs and Python for efficient, repeatable processes
- Apply advanced econometric and statistical techniques to quantify drivers of sales and track performance across channels
- Present model findings and actionable recommendations to business stakeholders; translate complex outcomes into clear business narratives
- Collaborate with cross-functional teams including category managers, finance, and marketing to ensure business alignment with modelling insights
- Maintain rigorous documentation on modelling methodology, variable selection, and process flows for audit and knowledge-sharing purposes
- Stay current on best practices in data science, machine learning, and MMM methodology.
Requirements:
- Bachelor’s or Master’s degree in Statistics, Econometrics, Mathematics, Data Science, or a related quantitative field
- 3+ years proven experience in marketing mix modelling, econometric/statistical analysis, or marketing analytics delivery in a business context
- Advanced proficiency in Python, including data science libraries (pandas, numpy, scikit-learn, statsmodels)
- Demonstrated expertise in data cleansing, preprocessing, and API-based data integration
- Experience working with large, multi-source datasets including sales, advertising, media, and brand data
- Strong analytical skills and practical knowledge of statistical and machine learning methods relevant to MMM.
- Excellent communication skills: ability to explain technical results to both technical and non-technical audiences
- Experience with data visualization tools (Looker, Power BI, or similar) is a plus
- Professional curiosity and collaborative outlook; comfortable working in fast-paced, dynamic environments.
Preferred Qualifications:
- Experience integrating and modelling brand equity, media, and PR data within MMM frameworks.
- Familiarity with retail category management and/or working across multiple CPG business units.
- Experience with other analytical tools such as R or SQL.
This role is ideal for a hands-on statistician enthusiastic about leveraging advanced econometric tools for real-world marketing and business optimization.
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.
About Unilever
Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best.
Our portfolio ranges from nutritionally balanced foods to indulgent ice creams, affordable soaps, luxurious shampoos and everyday household care products. We produce world-leading brands including Lipton, Knorr, Dove, Axe, Hellmann’s and Omo, alongside trusted local names and innovative-forward thinking brands like Ben & Jerry’s, The Dollar Shave Club and Dermalogica.
Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.