Data Scientist

Data Scientist – Time Series, Big Data & Open Data Mind in a Box is looking for a Data Scientist with strong expertise in time series analysis, big data processing, and open data integration to support a growing pipeline of data-intensive AI projects . You will work on real-world, production-grade AI systems deployed in data-intensive, regulated, and mission-critical environments, where reliability, security, and operational constraints matter as much as model performance. Our solutions are designed to integrate with diverse enterprise ecosystems and technology stacks, with a strong emphasis on the Microsoft ecosystem (Azure, data platforms, and AI services) in the context of certain client engagements, while requiring solid vendor-agnostic fundamentals, sound engineering judgment, and the ability to design portable and scalable AI and data architectures.

Role Overview As a Data Scientist, you will: Design, develop, and optimize time series models and big data pipelines Work on open data integration applied to enterprise and operational data Contribute to model evaluation, validation, and observability in production contexts Collaborate closely with DataOps, MLOps, and infrastructure specialists Translate business and operational requirements into robust AI solutions Communicate insights and limitations clearly to technical and non-technical stakeholders This is a full-time, remote role, with the requirement to be based in Québec. Core qualifications (must-have) Strong background in Data Science, Statistics, and Machine Learning Demonstrated experience with big data processing and open data integration Proficiency in Python and SQL Experience working with large-scale, time series, or semi-structured data Solid understanding of data pipelines and model lifecycle (experimentation, deployment and operational constraints) Ability to work autonomously while collaborating effectively with multidisciplinary teams Professional working proficiency in English; proficiency in French is an asset Québec residency (or readiness to be domiciled in Québec in the short term) Technical skills (highly valued) Experience with Microsoft AI & data ecosystem (Azure, data platforms, Synapse) Familiarity with NoSQL technologies, particularly Elastic or OpenSearch Experience handling real-time and streaming data pipelines Familiarity with LLM, RAG, and modern NLP techniques Knowledge of data governance, security, and cost considerations in enterprise environments Experience with geospatial data Profile & mindset Master’s degree in Data Science, Statistics, Computer Science, or a related field, or equivalent practical experience Strong analytical rigor combined with pragmatic engineering judgment Ability to interpret and align with management, customer, and project constraints Motivation to contribute to R&D activities, experimentation, and—when relevant—scientific or technical publications #J-18808-Ljbffr