- Develop and refine large generative models to create new data insights and solutions.
- Analyze and preprocess large datasets to train and validate generative models.
- Implement machine learning algorithms and statistical methods to improve model accuracy and efficiency.
- Collaborate with research scientists to translate experimental models into scalable solutions. · Visualize and interpret model outputs for stakeholder reporting.
- Stay current with industry trends and advancements in AI and machine learning.
Proven experience as a Data Scientist or Data AnalystExperience in data miningUnderstanding of machine-learning and operations researchKnowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an assetExperience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)Analytical mind and business acumenStrong math skills (e.g. statistics, algebra)Problem-solving aptitudeExcellent communication and presentation skillsBSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred