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Advanced in SQL and a statistical programming language such as Python and/or R. 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision...
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and...
Advanced in SQL and a statistical programming language such as Python and/or R. 5+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision...
Fine Tuning pre-trained Foundation Models and assisting different stakeholders with analysis and implementation. Apply prompt-engineering techniques to specific use cases and types of models. Collaborating with the client to rapidly...
User/query intent (text and image) understanding, document/ad understanding, user targeting - Relevance modeling, IR-based ad retrieval. User response (click & conversion) prediction using large scale machine learning algorithms - Marketplace...
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). PHD. in Computer Science, Mathematics, Physics,...
Global Footprint: With over one billion users, we have an unparalleled reach. Cutting-Edge Technology: Leverage our AI-powered products, including Bing and Large Language Models (LLMs) . High-Quality Connections: We’re committed...
Advanced in SQL and a statistical programming language such as Python and/or R. 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision...
Data scientists are highly coveted professionals in Canada's tech industry. Crucial to any organization looking to succeed in the modern competitive environment, the data scientist role is to transform vast troves of data into meaningful insights. With an ability to interpret complex data sets and make predictions from it, data scientists are sought-after problem-solvers working across myriad business sectors.
The data scientist role in Canada is critical for businesses looking to optimize products, make well-informed decisions, and give clients a competitive advantage. Drawing on a diverse set of skills and knowledge including analytics, engineering, model implementation, and data visualization, data scientists leverage artificial intelligence (AI), machine learning, and predictive analytics to derive patterns, trends and insights. The role requires excellent communication skills to present their findings and solutions to upper management with clarity.
Beyond a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics or STEM, data scientists must have a track record of successful projects in analytics, programming and data management. Employing ExPoint’s job searching platform to identify the right candidate can provide employers with access to talents with demonstrated skills in creating critical data models and machine learning algorithms.
The range of skills for data scientists in Canada is vast and varied but highly coveted, especially for mid-level to senior roles. Organizations need experienced data scientists to guide complicated projects from end-to-end, with the ability to collaborate on multi-disciplinary initiatives. With ExPoint’s platform, employers can find the highly skilled data scientists to bring insight and value to their teams.