[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-propensity-modeling-br":3,"expertise-filters-\u002Fde-br\u002Fjobs-by-expertise\u002Fpropensity-modeling":4,"job-search-\u002Fde-br\u002Fjobs-by-expertise\u002Fpropensity-modeling":100,"featured-jobs-\u002Fde-br\u002Fjobs-by-expertise\u002Fpropensity-modeling":131},{},{"industry":5,"employment_type":13,"expertise_skills":17,"it_skills":75,"salary_currency":94,"processed_working_hours":97},[6,10],{"key":7,"label":8,"count":9},"banking","Banking",1,{"key":11,"label":12,"count":9},"financial services","Financial Services",[14],{"key":15,"label":16,"count":9},"permanent","PERMANENT",[18,21,24,27,30,33,36,39,42,45,48,51,54,57,60,63,66,69,72],{"key":19,"label":20,"slug":19,"count":9},"analytical-design","Analytical Design",{"key":22,"label":23,"slug":22,"count":9},"churn-prevention","Churn Prevention",{"key":25,"label":26,"slug":25,"count":9},"customer-acquisition","Customer Acquisition",{"key":28,"label":29,"slug":28,"count":9},"customer-interaction-strategies","Customer Interaction Strategies",{"key":31,"label":32,"slug":31,"count":9},"customer-value","Customer Value",{"key":34,"label":35,"slug":34,"count":9},"data-science","Data Science",{"key":37,"label":38,"slug":37,"count":9},"impact-measurement","Impact Measurement",{"key":40,"label":41,"slug":40,"count":9},"interaction-optimization","Interaction Optimization",{"key":43,"label":44,"slug":43,"count":9},"machine-learning","Machine Learning",{"key":46,"label":47,"slug":46,"count":9},"model-governance","Model Governance",{"key":49,"label":50,"slug":49,"count":9},"model-monitoring","Model Monitoring",{"key":52,"label":53,"slug":52,"count":9},"model-validation","Model Validation",{"key":55,"label":56,"slug":55,"count":9},"next-best-action","Next Best Action",{"key":58,"label":59,"slug":58,"count":9},"next-best-offer","Next Best Offer",{"key":61,"label":62,"slug":61,"count":9},"performance-evaluation","Performance Evaluation",{"key":64,"label":65,"slug":64,"count":9},"productionization","Productionization",{"key":67,"label":68,"slug":67,"count":9},"propensity-modeling","Propensity Modeling",{"key":70,"label":71,"slug":70,"count":9},"segmentation","Segmentation",{"key":73,"label":74,"slug":73,"count":9},"statistical-modeling","Statistical Modeling",[76,79,82,85,88,91],{"key":77,"label":78,"slug":77,"count":9},"aws","Aws",{"key":80,"label":81,"slug":80,"count":9},"databricks","Databricks",{"key":83,"label":84,"slug":83,"count":9},"mlops","Mlops",{"key":86,"label":87,"slug":86,"count":9},"pyspark","Pyspark",{"key":89,"label":90,"slug":89,"count":9},"python","Python",{"key":92,"label":93,"slug":92,"count":9},"sql","SQL",[95],{"key":96,"label":96,"count":9},"BRL",[98],{"key":99,"label":99,"count":9},"FULL_TIME",{"total":9,"jobs":101},[102],{"id":103,"slug":104,"title":105,"raw_title":106,"is_featured":107,"company":108,"raw_hiringOrganization_logo_url":106,"processed_city_gmaps":112,"processed_country_iso_code_gmaps":114,"processed_home_office":116,"processed_salary_min":117,"processed_salary_max":118,"processed_salary_currency":96,"processed_salary_source":119,"processed_working_hours":120,"processed_employment_types":15,"processed_it_skills":121,"processed_it_skills_labels":124,"processed_job_expertise_skills":128,"processed_job_expertise_skills_labels":129,"max_cpc":9,"actual_cpc":130},87120,"bra-data-scientist-iii-customer-interaction-banco-santander-brasil-sa","BRA Data Scientist III | Customer Interaction",null,false,{"name":109,"slug":110,"logo_url":111},"Banco Santander (Brasil) S.A.","banco-santander-brasil-sa","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[113],"Vila Olímpia",[115],"BR","hybrid",120000,180000,"estimated",[99],{"aws":122,"sql":123,"mlops":122,"python":123,"pyspark":123,"databricks":123},3,4,[90,93,125,81,126,127],"PySpark","AWS","MLOps",{"data science":123,"segmentation":123,"customer value":123,"next best offer":123,"churn prevention":123,"machine learning":123,"model governance":122,"model monitoring":122,"model validation":123,"next best action":123,"analytical design":123,"productionization":122,"impact measurement":123,"propensity modeling":123,"customer acquisition":123,"statistical modeling":123,"performance evaluation":123,"interaction optimization":123,"customer interaction strategies":123},[35,44,74,53,62,20,29,23,26,59,56,32,68,71,38,41,47,50,65],0.4,{"total":132,"jobs":133},0,[]]