4 Dataiku Jobs with Remote Work Options

Campaign Management tools (CRM), in particular, Salesforce, Adobe DCO & DAM solutions (e.g. Bynder, Jivox) CDP’s (e.g. Salesforce, Twilio Segment) Analytic platforms (e.g. Azure, Dataiku) Social analytics tools (e.g. Netbase, Quid, BrandWatch, Meltwater) Intelligence tools (e.g. GWI, YouGov, TGI) Data analysis tools (e.g. R, Python, SQL) Digital marketing platforms (e.g. more »

Campaign Management tools (CRM), in particular, Salesforce, Adobe DCO & DAM solutions (e.g. Bynder, Jivox) CDP’s (e.g. Salesforce, Twilio Segment) Analytic platforms (e.g. Azure, Dataiku) Social analytics tools (e.g. Netbase, Quid, BrandWatch, Meltwater) Intelligence tools (e.g. GWI, YouGov) Data analysis tools (e.g. R, Python, SQL) Digital marketing platforms (e.g. FB more »

data, as well as help them make data driven decisions to deliver better products, service and relevance to consumers. Utilising advanced analytics tools like Dataiku, you will be responsible for extracting insights, building predictive models, and generating actionable recommendations to optimise customer experiences and drive business growth. Responsibilities: Utilise Dataiku … to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong programming skills in languages such as Python, R, or SQL. more »

amounts of customer data, and help make data driven decisions to deliver better products, services and relevance to consumers. Utilising advanced analytics tools like Dataiku, you will be responsible for extracting insights, building predictive models and generating actionable recommendations to optimise customer experiences and drive business growth. Duties Data Analysis … and Exploration: • Utilize Dataiku and other analytical tools to extract, clean, and explore customer data from various sources. • Identify patterns, trends, and correlations within the data to uncover actionable insights. Model Development and Deployment • Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. • Implement machine learning … market trends and competitor activities to identify opportunities for innovation. Skills • Experience in data analysis, statistical modelling, and machine learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such as Python, R, or SQL. • Excellent communication and collaboration more »