Senior Data Scientist

About KPI At KPI, you’ll have the chance to build a career as unique as you are, with the support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help KPI become even better, too. Our vision is to advance the world through the power of people and technology. Established over 20 years ago in Quebec, KPI is uniquely positioned as a Canadian leader across the Data, Analytics & AI ecosystem. Every day our team brings industry insights, unrivaled expertise, and breadth of services to do what matters for our clients and their customers. Join a team immersed in a high‑tech and very dynamic environment where projects and workdays are never the same. Senior – Data Scientist We are looking for a skilled Senior – Data Scientist to join our exciting journey in revolutionizing our cutting‑edge Data Science and Big Data platform, expanding Managed Data Science Services across diverse industries. You will help clients navigate the complex world of modern data science and analytics, providing unique insights that revolutionize and enhance their entire organization. This is a fast‑growing, high‑visibility domain with ample opportunities to elevate your skill set and advance your career. Your Responsibilities Support AI and Machine Learning opportunities within client portfolios, building, validating, deploying, and monitoring advanced descriptive, predictive, and prescriptive machine learning models. Deliver solutions including Sentiment Analysis, Text Mining, Digital Analytics, Customer Segmentation, Customer Acquisition, Churn Management, and the latest NLP and Generative AI solutions. Effectively partner with clients to understand and anticipate needs, guiding them toward both short‑term wins and long‑term managed data science services. Analyze customer data to identify optimization opportunities across business functions such as product development, marketing, supply chains, operations, manufacturing, R&D, and more. Leverage commercial and open‑source AI, Machine Learning, Big Data ecosystem tools, BI, visualization, and discovery tools (SAS, R, Python, Scala, Java, Spark, Azure Machine Learning, PowerBI, Datameer, etc.) to deliver advanced models. Proactively monitor and fine‑tune AI/ML model performance, managing champion/challenger models for optimal performance and resource utilization. Ensure models are properly packaged, documented, and deployed; participate in client training and knowledge transfer as required. Ensure compliance with top‑level security, privacy, and data governance requirements. Apply CI/CD, DevOps tools and processes (Git, Jira, Jenkins) to deliver and support advanced data science solutions. Act as a subject‑matter expert and thought leader, continuously following industry trends and delivering papers. Present KPI’s views at major industry conferences and events. To Qualify For The Role, You Must Have Degree in AI, Machine Learning, Statistics, Economics/Econometrics, Computer Science, Engineering, or equivalent. 5+ years of extensive experience building predictive ML and AI models for customer experience, journey analytics, segmentation, churn, lookalike, or equivalent use cases. Proficiency in various machine learning techniques and their practical advantages/drawbacks. 3+ years of experience in Text Mining and NLP. Experience with scripting languages: Python, R, SAS, Java, C++, SPSS, MATLAB. Experience with deep learning frameworks: TensorFlow, PyTorch, and Hugging Face Transformers. In‑depth understanding of the predictive modeling lifecycle and best practices for feature engineering, model development, validation, deployment, management, and performance monitoring. Experience leading teams of Junior and Senior Data Scientists. Proficiency in open‑source AI/ML/DS tools, R, Python, Spark, notebooks (Zeppelin, Jupyter), Azure, DSX. Expertise in Large Language Models (LLMs) with strong LangChain proficiency. Experience querying databases and using statistical programming languages: R, Python, SQL. Data Scientist certification, including Azure, Hadoop, Spark or equivalent production experience. Ideally, You’ll Also Have Advanced degree (Master’s or PhD) in AI, ML, Statistics, Economics/Econometrics, Computer Science, Engineering, or equivalent. Prior consulting experience in the manufacturing sector on data science projects. Experience with deep learning on CPUs and GPUs. Experience with Azure Machine Learning. Experience with Text Mining and Sentiment Analysis. Bilingual in English and French preferred. Experience with MLOps pipelines and frameworks (Kubeflow, MLFlow, etc.). What We Look For Experience engaging with both technical and non-technical stakeholders. Strong consulting background and client engagement. Team management in advanced analytics, BI, data warehousing, and big data projects. Passionate leaders with strong vision and a desire to stay at the forefront of data science and big data trends. Benefits Opportunity to join a growing professional network of high-profile clients and colleagues. Permanent, full‑time position (40 hours a week). Hybrid work model (home and office) with flexible schedule. Competitive salary and bonus structure. Group insurance plan. Retirement savings plan with matching. Family company culture. Flex‑Friday in summer. Free gym use within building. Subsidized catering and free office snacks. Vacation days plus 6 personal days per year. Casual work environment (jeans‑friendly). À Propos De KPI Chez KPI, vous aurez la chance de bâtir une carrière aussi unique que vous, avec le soutien, la culture inclusive et la technologie qui vous permettront de devenir la meilleure version de vous-même. Et nous comptons sur votre voix et votre point de vue uniques pour aider KPI à devenir encore meilleur. Notre vision est de faire avancer le monde grâce au pouvoir des personnes et de la technologie. Établie il y a plus de 20 ans au Québec, KPI occupe une position unique en tant que leader canadien dans l'écosystème des Données, de l'Analytique et de l'IA. Rejoignez une équipe plongée dans un environnement high‑tech et très dynamique où les projets et les journées de travail ne se ressemblent jamais. Scientifique des données senior compétent Vous aiderez nos clients à naviguer dans le monde complexe de la science des données et de l'analyse modernes. Nous avons besoin de votre expertise pour offrir à nos clients des perspectives uniques sur la façon dont la science des données et l'analyse peuvent révolutionner et améliorer l'ensemble de leur organisation. Vos responsabilités incluent la construction, la validation, le déploiement et la surveillance de modèles d'apprentissage automatique descriptifs, prédictifs et prescriptifs. Vous soutiendrez les opportunités d'IA et de Machine Learning au sein de nos portefeuilles clients. Compétences et attributs pour réussir Établir un partenariat efficace avec les clients pour comprendre et anticiper leurs besoins. Analyser les données des clients pour identifier les opportunités d'optimisation. Créer, valider, déployer, surveiller et fournir un support DevOps. Exploiter les outils commerciaux et open‑source d'IA, de Machine Learning... Surveiller et affiner les performances des modèles. Assurer un emballage et une documentation appropriés. Conformité aux exigences de sécurité et de gouvernance. Appliquer les processus Agile et DevOps. Expertise en LLM et LangChain. Intéressé(e) à présenter KPI lors de conférences. Pour Prétendre à Ce Poste, Vous Devez Avoir Un diplôme en IA, apprentissage automatique, statistiques, économie/économétrie, informatique, ingénierie ou équivalent. 5+ ans d'expérience... (same as above) Idéalement, Vous Avez Diplôme supérieur (Master ou PhD)… Expérience en conseil… Bilingue anglais et français. Expérience MLOps pipelines et frameworks. Ce Que Nous Recherchons Expérience d'engagement avec parties prenantes techniques et non techniques. Solide expérience de conseil. Gestion d'équipe sur des projets analytiques avancés. Avantages Opportunité de rejoindre et de développer un réseau professionnel. Emploi permanent à temps plein (40h). Horaires hybrides, flexibles. Salaire compétitif, primes. Assurance collective avantageuse. Plan d'épargne retraite. Cult. familiale. Flex‑Vendredi. Gym gratuit. Restauration subventionnée, collations gratuites. Jours de vacances +6 jours personnels par an. Environnement décontracté: jeans permis. Seniority level Mid‑Senior level Employment type Full-time Job function Engineering and Information Technology Mining #J-18808-Ljbffr