[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-big-data-technologies-ca":3,"job-search-\u002Fde-ca\u002Fjobs-by-expertise\u002Fbig-data-technologies":4,"expertise-filters-\u002Fde-ca\u002Fjobs-by-expertise\u002Fbig-data-technologies":87,"featured-jobs-\u002Fde-ca\u002Fjobs-by-expertise\u002Fbig-data-technologies":185},{},{"total":5,"jobs":6},2,[7,55],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":39,"processed_job_expertise_skills_labels":40,"max_cpc":53,"actual_cpc":54},91812,"applied-ai-research-scientist-canadian-imperial-bank-of-commerce-canada-2","Applied AI Research Scientist",null,false,{"name":14,"slug":15,"logo_url":11},"Canadian Imperial Bank of Commerce (Canada)","canadian-imperial-bank-of-commerce-canada",[17],"Toronto",[19],"CA","hybrid",100000,150000,"CAD","estimated",[26],"FULL_TIME","permanent",{"git":29,"pl\u002Fsql":29,"python":30,"pytorch":30,"databricks":29,"tensorflow":30,"shell scripting":29},3,4,[32,33,34,35,36,37,38],"Python","PyTorch","TensorFlow","Git","PL\u002FSQL","Shell Scripting","Databricks",{"data analysis":30,"deep learning":30,"generative ai":30,"machine learning":30,"academic research":30,"conversational ai":29,"data manipulation":29,"data visualization":29,"explainable ai (xai)":29,"statistical analysis":30,"big data technologies":29,"natural language processing (nlp)":30},[41,42,43,44,45,46,47,48,49,50,51,52],"Deep Learning","Natural Language Processing (NLP)","Machine Learning","Generative AI","Big Data Technologies","Statistical Analysis","Data Analysis","Data Visualization","Data Manipulation","Academic Research","Explainable AI (XAI)","Conversational AI",1,1.2,{"id":56,"slug":57,"title":58,"raw_title":11,"is_featured":12,"company":59,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":62,"processed_country_iso_code_gmaps":64,"processed_home_office":65,"processed_salary_min":66,"processed_salary_max":67,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":68,"processed_employment_types":27,"processed_it_skills":69,"processed_it_skills_labels":70,"processed_job_expertise_skills":76,"processed_job_expertise_skills_labels":77,"max_cpc":53,"actual_cpc":54},98404,"actuarial-analyst-meloche-monnex-inc","Actuarial Analyst",{"name":60,"slug":61,"logo_url":11},"Meloche Monnex Inc.","meloche-monnex-inc",[63],"Montreal",[19],"onsite",85000,110000,[26],{"aws":5,"gcp":5,"azure":5,"spark":5,"python":29,"snowflake":5,"databricks":5},[32,71,72,73,38,74,75],"AWS","Azure","GCP","Snowflake","Spark",{"pricing":29,"cloud computing":5,"machine learning":29,"model governance":29,"data architecture":5,"big data technologies":5,"statistical techniques":30,"actuarial predictive modeling":30,"property & casualty insurance":30},[78,79,80,81,82,83,84,85,86],"Actuarial predictive modeling","Statistical techniques","Machine learning","Model governance","Property & Casualty insurance","Pricing","Cloud computing","Big data technologies","Data architecture",{"industry":88,"employment_type":98,"expertise_skills":101,"it_skills":150,"salary_currency":181,"processed_working_hours":183},[89,92,95],{"key":90,"label":91,"count":53},"banking","Banking",{"key":93,"label":94,"count":53},"financial services","Financial Services",{"key":96,"label":97,"count":53},"insurance","Insurance",[99],{"key":27,"label":100,"count":5},"PERMANENT",[102,104,106,109,112,114,117,119,122,125,128,131,134,136,139,141,143,145,147],{"key":103,"label":43,"slug":103,"count":5},"machine-learning",{"key":105,"label":45,"slug":105,"count":5},"big-data-technologies",{"key":107,"label":108,"slug":107,"count":53},"natural-language-processing-nlp","Natural Language Processing (Nlp)",{"key":110,"label":111,"slug":110,"count":53},"data-architecture","Data Architecture",{"key":113,"label":83,"slug":113,"count":53},"pricing",{"key":115,"label":116,"slug":115,"count":53},"property-casualty-insurance","Property & Casualty Insurance",{"key":118,"label":46,"slug":118,"count":53},"statistical-analysis",{"key":120,"label":121,"slug":120,"count":53},"model-governance","Model Governance",{"key":123,"label":124,"slug":123,"count":53},"generative-ai","Generative Ai",{"key":126,"label":127,"slug":126,"count":53},"actuarial-predictive-modeling","Actuarial Predictive Modeling",{"key":129,"label":130,"slug":129,"count":53},"statistical-techniques","Statistical Techniques",{"key":132,"label":133,"slug":132,"count":53},"explainable-ai-xai","Explainable Ai (Xai)",{"key":135,"label":49,"slug":135,"count":53},"data-manipulation",{"key":137,"label":138,"slug":137,"count":53},"cloud-computing","Cloud Computing",{"key":140,"label":48,"slug":140,"count":53},"data-visualization",{"key":142,"label":47,"slug":142,"count":53},"data-analysis",{"key":144,"label":50,"slug":144,"count":53},"academic-research",{"key":146,"label":41,"slug":146,"count":53},"deep-learning",{"key":148,"label":149,"slug":148,"count":53},"conversational-ai","Conversational Ai",[151,153,155,157,160,162,165,168,171,173,176,179],{"key":152,"label":38,"slug":152,"count":5},"databricks",{"key":154,"label":32,"slug":154,"count":5},"python",{"key":156,"label":35,"slug":156,"count":53},"git",{"key":158,"label":159,"slug":158,"count":53},"aws","Aws",{"key":161,"label":74,"slug":161,"count":53},"snowflake",{"key":163,"label":164,"slug":163,"count":53},"ms-azure","MS Azure",{"key":166,"label":167,"slug":166,"count":53},"tensorflow","Tensorflow",{"key":169,"label":170,"slug":169,"count":53},"pytorch","Pytorch",{"key":172,"label":75,"slug":172,"count":53},"spark",{"key":174,"label":175,"slug":174,"count":53},"gcp","Gcp",{"key":177,"label":178,"slug":177,"count":53},"plsql","Pl\u002FSql",{"key":180,"label":37,"slug":180,"count":53},"shell-scripting",[182],{"key":23,"label":23,"count":5},[184],{"key":26,"label":26,"count":5},{"total":186,"jobs":187},0,[]]