[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-experiment-design-global":3,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fexperiment-design":4,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fexperiment-design":182,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fexperiment-design":369},{},{"industry":5,"employment_type":17,"expertise_skills":25,"it_skills":99,"salary_currency":172,"processed_working_hours":179},[6,10,14],{"key":7,"label":8,"count":9},"financial services","Financial Services",3,{"key":11,"label":12,"count":13},"banking","Banking",1,{"key":15,"label":16,"count":13},"insurance","Insurance",[18,21],{"key":19,"label":20,"count":9},"permanent","PERMANENT",{"key":22,"label":23,"count":24},"student","STUDENT",2,[26,30,33,36,39,42,45,48,51,54,57,60,63,66,69,72,75,78,81,84,87,90,93,96],{"key":27,"label":28,"slug":27,"count":29},"experiment-design","Experiment Design",5,{"key":31,"label":32,"slug":31,"count":9},"ab-testing","A\u002FB Testing",{"key":34,"label":35,"slug":34,"count":24},"data-analysis","Data Analysis",{"key":37,"label":38,"slug":37,"count":24},"go-to-market-strategy","Go-To-Market Strategy",{"key":40,"label":41,"slug":40,"count":24},"venture-building","Venture Building",{"key":43,"label":44,"slug":43,"count":24},"prototyping","Prototyping",{"key":46,"label":47,"slug":46,"count":24},"machine-learning","Machine Learning",{"key":49,"label":50,"slug":49,"count":13},"business-model-development","Business Model Development",{"key":52,"label":53,"slug":52,"count":13},"cloud-ai-platforms","Cloud Ai Platforms",{"key":55,"label":56,"slug":55,"count":13},"confidence-intervals","Confidence Intervals",{"key":58,"label":59,"slug":58,"count":13},"conversion-rate-optimization","Conversion Rate Optimization",{"key":61,"label":62,"slug":61,"count":13},"cross-validation","Cross-Validation",{"key":64,"label":65,"slug":64,"count":13},"customer-behavior-analysis","Customer Behavior Analysis",{"key":67,"label":68,"slug":67,"count":13},"customer-discovery","Customer Discovery",{"key":70,"label":71,"slug":70,"count":13},"customer-journey-optimization","Customer Journey Optimization",{"key":73,"label":74,"slug":73,"count":13},"deep-learning","Deep Learning",{"key":76,"label":77,"slug":76,"count":13},"digital-acquisition-funnels","Digital Acquisition Funnels",{"key":79,"label":80,"slug":79,"count":13},"digital-analytics","Digital Analytics",{"key":82,"label":83,"slug":82,"count":13},"document-parsing","Document Parsing",{"key":85,"label":86,"slug":85,"count":13},"drift-detection","Drift Detection",{"key":88,"label":89,"slug":88,"count":13},"embeddings","Embeddings",{"key":91,"label":92,"slug":91,"count":13},"experimentation","Experimentation",{"key":94,"label":95,"slug":94,"count":13},"financial-modeling","Financial Modeling",{"key":97,"label":98,"slug":97,"count":13},"funnel-analysis","Funnel Analysis",[100,103,106,109,112,115,118,121,124,127,130,133,136,139,142,145,148,151,154,157,160,163,166,169],{"key":101,"label":102,"slug":101,"count":9},"sql","SQL",{"key":104,"label":105,"slug":104,"count":9},"python","Python",{"key":107,"label":108,"slug":107,"count":24},"pytorch","Pytorch",{"key":110,"label":111,"slug":110,"count":24},"scikit-learn","Scikit-Learn",{"key":113,"label":114,"slug":113,"count":24},"lovable","Lovable",{"key":116,"label":117,"slug":116,"count":24},"tensorflow","Tensorflow",{"key":119,"label":120,"slug":119,"count":13},"azure-ai-services","Azure Ai Services",{"key":122,"label":123,"slug":122,"count":13},"canva","Canva",{"key":125,"label":126,"slug":125,"count":13},"claude-code","Claude Code",{"key":128,"label":129,"slug":128,"count":13},"contentsquare","Contentsquare",{"key":131,"label":132,"slug":131,"count":13},"convert","Convert",{"key":134,"label":135,"slug":134,"count":13},"css","Css",{"key":137,"label":138,"slug":137,"count":13},"duck-creek","Duck Creek",{"key":140,"label":141,"slug":140,"count":13},"dynamic-yield","Dynamic Yield",{"key":143,"label":144,"slug":143,"count":13},"figma","Figma",{"key":146,"label":147,"slug":146,"count":13},"firebase-analytics","Firebase Analytics",{"key":149,"label":150,"slug":149,"count":13},"fullstory","Fullstory",{"key":152,"label":153,"slug":152,"count":13},"gcp","Gcp",{"key":155,"label":156,"slug":155,"count":13},"git","Git",{"key":158,"label":159,"slug":158,"count":13},"github","Github",{"key":161,"label":162,"slug":161,"count":13},"google-analytics-4","Google Analytics 4",{"key":164,"label":165,"slug":164,"count":13},"google-vertex-ai","Google Vertex Ai",{"key":167,"label":168,"slug":167,"count":13},"growthbook","Growthbook",{"key":170,"label":171,"slug":170,"count":13},"heap","Heap",[173,175,177],{"key":174,"label":174,"count":9},"EUR",{"key":176,"label":176,"count":13},"GBP",{"key":178,"label":178,"count":13},"INR",[180],{"key":181,"label":181,"count":29},"FULL_TIME",{"total":29,"jobs":183},[184,216,262,290,342],{"id":185,"slug":186,"title":187,"raw_title":188,"is_featured":189,"company":190,"raw_hiringOrganization_logo_url":192,"processed_city_gmaps":193,"processed_country_iso_code_gmaps":195,"processed_home_office":197,"processed_salary_min":198,"processed_salary_max":199,"processed_salary_currency":174,"processed_salary_source":200,"processed_working_hours":201,"processed_employment_types":22,"processed_it_skills":202,"processed_it_skills_labels":203,"processed_job_expertise_skills":207,"processed_job_expertise_skills_labels":208,"max_cpc":13,"actual_cpc":13},80406,"praktikantin-venture-building-all-genders-welcome-amberra","Praktikant:in Venture Building - all genders welcome",null,false,{"name":191,"slug":191,"logo_url":188},"amberra","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F145322\u002Fsocial\u002Fbfe0628cbd6badc3d7c7c286667f5a0a.png",[194],"Hamburg",[196],"DE","hybrid",15000,25000,"estimated",[181],{"miro":9,"canva":9,"figma":9,"notion":9,"trello":9,"lovable":9},[144,204,205,123,114,206],"Miro","Notion","Trello",{"marketing":9,"prototyping":9,"lean startup":9,"data analysis":9,"user research":9,"pricing strategy":9,"venture building":9,"experiment design":9,"customer discovery":9,"pitch deck creation":9,"go-to-market strategy":9,"business case development":9,"business model development":9},[41,209,68,28,50,210,211,212,35,213,44,214,215],"Lean Startup","Go-to-Market Strategy","Pricing Strategy","Marketing","User Research","Pitch Deck Creation","Business Case Development",{"id":217,"slug":218,"title":219,"raw_title":188,"is_featured":189,"company":220,"raw_hiringOrganization_logo_url":188,"processed_city_gmaps":223,"processed_country_iso_code_gmaps":225,"processed_home_office":227,"processed_salary_min":228,"processed_salary_max":229,"processed_salary_currency":178,"processed_salary_source":200,"processed_working_hours":230,"processed_employment_types":19,"processed_it_skills":231,"processed_it_skills_labels":233,"processed_job_expertise_skills":244,"processed_job_expertise_skills_labels":245,"max_cpc":13,"actual_cpc":13},78798,"ind-applied-ai-scientist-hartford-global-services-private-limited","IND Applied AI Scientist",{"name":221,"slug":222,"logo_url":188},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[224],"Hyderabad",[226],"IN","onsite",2000000,3500000,[181],{"git":9,"sql":232,"unix":9,"numpy":232,"pandas":232,"python":232,"pytorch":9,"ratabase":24,"duck creek":24,"tensorflow":9,"aws bedrock":9,"scikit-learn":232,"aws sagemaker":9,"google vertex ai":9,"azure ai services":9},4,[105,234,235,110,102,236,237,156,238,239,240,241,242,138,243],"pandas","NumPy","PyTorch","TensorFlow","Unix","Google Vertex AI","AWS SageMaker","AWS Bedrock","Azure AI Services","Ratabase",{"nlp":232,"ocr":9,"rag":232,"embeddings":232,"a\u002Fb testing":232,"ai governance":9,"deep learning":232,"generative ai":232,"pii detection":9,"drift detection":232,"document parsing":9,"machine learning":232,"model deployment":232,"model evaluation":232,"model monitoring":232,"experiment design":232,"cloud ai platforms":9,"prompt engineering":232,"text normalization":9,"retrieval strategies":232,"statistical modeling":232,"production integration":232,"unstructured data processing":232},[246,47,74,247,248,28,32,86,249,83,250,251,252,253,254,89,255,256,257,258,259,260,261],"Statistical Modeling","Model Evaluation","Model Monitoring","Unstructured Data Processing","OCR","Text Normalization","PII Detection","NLP","Generative AI","Retrieval Strategies","Prompt Engineering","RAG","AI Governance","Cloud AI Platforms","Model Deployment","Production Integration",{"id":263,"slug":264,"title":265,"raw_title":188,"is_featured":189,"company":266,"raw_hiringOrganization_logo_url":188,"processed_city_gmaps":269,"processed_country_iso_code_gmaps":271,"processed_home_office":227,"processed_salary_min":273,"processed_salary_max":274,"processed_salary_currency":176,"processed_salary_source":200,"processed_working_hours":275,"processed_employment_types":19,"processed_it_skills":276,"processed_it_skills_labels":277,"processed_job_expertise_skills":279,"processed_job_expertise_skills_labels":280,"max_cpc":13,"actual_cpc":13},71536,"quantitative-researcher-cmc-markets-uk-plc","Quantitative Researcher",{"name":267,"slug":268,"logo_url":188},"CMC Markets UK Plc","cmc-markets-uk-plc",[270],"London",[272],"GB",80000,120000,[181],{"sql":232,"python":232,"pytorch":232,"xgboost":232,"tensorflow":232,"scikit-learn":232},[105,102,110,278,236,237],"XGBoost",{"bias detection":9,"risk management":232,"cross-validation":232,"machine learning":232,"model governance":9,"experiment design":232,"financial modeling":232,"model explainability":9,"time-series analysis":232,"out-of-sample testing":232,"production monitoring":9,"quantitative research":232,"overfitting prevention":9},[281,47,282,95,283,284,285,286,287,288,28,62,289],"Quantitative Research","Time-Series Analysis","Risk Management","Model Governance","Model Explainability","Bias Detection","Overfitting Prevention","Production Monitoring","Out-of-Sample Testing",{"id":291,"slug":292,"title":293,"raw_title":188,"is_featured":189,"company":294,"raw_hiringOrganization_logo_url":188,"processed_city_gmaps":298,"processed_country_iso_code_gmaps":300,"processed_home_office":197,"processed_salary_min":302,"processed_salary_max":303,"processed_salary_currency":174,"processed_salary_source":200,"processed_working_hours":304,"processed_employment_types":19,"processed_it_skills":305,"processed_it_skills_labels":306,"processed_job_expertise_skills":331,"processed_job_expertise_skills_labels":332,"max_cpc":13,"actual_cpc":13},84226,"conversion-rate-optimization-expert-acquisition-ing-bank-i-n-g-bank-n-v-amsterdam-sucursala-bucuresti","Conversion Rate Optimization Expert | Acquisition @ING Bank",{"name":295,"slug":296,"logo_url":297},"ING Bank N. V. Amsterdam - Sucursala Bucuresti","ing-bank-n-v-amsterdam-sucursala-bucuresti","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[299],"Bukarest",[301],"RO",30000,50000,[181],{"css":24,"vwo":232,"heap":232,"html":24,"hotjar":232,"convert":232,"statsig":232,"ab tasty":232,"medallia":232,"mixpanel":232,"amplitude":232,"fullstory":232,"kameleoon":232,"mouseflow":232,"piwik pro":232,"qualtrics":232,"sitespect":232,"growthbook":232,"javascript":24,"optimizely":232,"usertesting":232,"adobe target":232,"launchdarkly":232,"contentsquare":232,"dynamic yield":232,"quantum metric":232,"adobe analytics":232,"microsoft clarity":232,"firebase analytics":232,"google analytics 4":232},[307,132,308,309,141,310,311,312,313,314,315,162,316,317,318,129,319,171,320,147,321,322,323,324,325,326,327,328,329,330],"Optimizely","VWO","AB Tasty","Kameleoon","Adobe Target","SiteSpect","LaunchDarkly","GrowthBook","Statsig","Adobe Analytics","Amplitude","Mixpanel","Quantum Metric","Piwik PRO","Hotjar","Microsoft Clarity","FullStory","Mouseflow","UserTesting","Qualtrics","Medallia","HTML","CSS","JavaScript",{"growth":232,"a\u002Fb testing":232,"experimentation":232,"funnel analysis":232,"personalization":232,"digital analytics":232,"experiment design":232,"split url testing":232,"agile product teams":9,"confidence intervals":232,"multivariate testing":232,"product optimization":232,"sample size calculations":232,"statistical significance":232,"customer behavior analysis":232,"incrementality measurement":232,"digital acquisition funnels":232,"conversion rate optimization":232,"customer journey optimization":232},[59,92,80,333,334,71,32,335,336,337,28,338,56,339,340,98,65,77,341],"Growth","Product Optimization","Multivariate Testing","Split URL Testing","Personalization","Statistical Significance","Sample Size Calculations","Incrementality Measurement","Agile Product Teams",{"id":343,"slug":344,"title":345,"raw_title":188,"is_featured":189,"company":346,"raw_hiringOrganization_logo_url":188,"processed_city_gmaps":347,"processed_country_iso_code_gmaps":348,"processed_home_office":197,"processed_salary_min":349,"processed_salary_max":350,"processed_salary_currency":174,"processed_salary_source":200,"processed_working_hours":351,"processed_employment_types":22,"processed_it_skills":352,"processed_it_skills_labels":353,"processed_job_expertise_skills":360,"processed_job_expertise_skills_labels":361,"max_cpc":13,"actual_cpc":368},44681,"praktikantin-agentic-venture-building-all-genders-welcome-amberra","Praktikant:in Agentic Venture Building - all genders welcome",{"name":191,"slug":191,"logo_url":188},[194],[196],2000,2500,[181],{"gcp":9,"sql":9,"neon":9,"github":9,"python":9,"lovable":9,"vs code":9,"n8n\u002Fmake":9,"claude code":9,"javascript\u002Ftypescript":9},[105,354,102,126,114,355,356,357,358,359],"JavaScript\u002FTypeScript","VS Code","GitHub","n8n\u002FMake","GCP","Neon",{"research":9,"automation":9,"a\u002Fb testing":9,"prototyping":232,"data analysis":9,"api integration":9,"mvp development":232,"venture building":232,"experiment design":9,"product development":9,"go-to-market strategy":9,"lean startup methodology":9},[41,362,44,210,32,35,363,364,365,28,366,367],"MVP Development","Automation","API Integration","Research","Lean Startup Methodology","Product Development",0.5,{"total":13,"jobs":370},[371],{"id":372,"slug":373,"title":374,"raw_title":188,"is_featured":375,"company":376,"raw_hiringOrganization_logo_url":188,"processed_city_gmaps":380,"processed_country_iso_code_gmaps":382,"processed_home_office":383,"processed_salary_min":384,"processed_salary_max":385,"processed_salary_currency":174,"processed_salary_source":188,"processed_working_hours":386,"processed_employment_types":20,"processed_it_skills":388,"processed_it_skills_labels":188,"processed_job_expertise_skills":389,"processed_job_expertise_skills_labels":390,"max_cpc":397,"actual_cpc":188},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":377,"slug":378,"logo_url":379},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[381],"Frankfurt am Main",[196],"HYBRID",45000,65000,[387],"full_time",{},{"Financial Analysis":9,"Regulatory Compliance":9,"New Customer Acquisition":9,"Private Banking Advisory":9,"Banking Products Knowledge":9,"Customer Relationship Management":9},[391,392,393,394,395,396],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]