Customer Analytics Data Scientist

A customer analytics data scientist at Crystal is someone who specializes in leveraging data related to customer behavior, preferences, and interactions with a company's products orservices, utilizing Amazon Web Services (AWS) services for data processing and analysis. Their primary focus is on extracting insights from large datasets to understand customer trends, predict future behaviors, and optimize marketing, sales, and customer service strategies. Key responsibilities of a customer analytics data scientist include:-Data Collection and Cleaning: Utilize AWS tools and services to gather, process, and clean large volumes of customer data from diverse sources ensuring data accuracy andcompleteness.-Data Analysis: Employ statistical techniques, machine learning algorithms, and AWS analytics services to analyze customer data, uncover patterns, trends, and correlations, and derive actionable insights.-Predictive Modeling: Develop and deploy predictive models using AWS machine learning services to forecast customer behavior, including purchase likelihood, churn probability, and customer lifetime value.-Segmentation: Utilize data segmentation techniques to categorize customers into meaningful segments based on demographics, behavior, and preferences to enable targeted marketing campaigns and personalized experiences.-Data Visualization and Reporting: Utilize data visualization tools to create clear and visually appealing reports, dashboards, and presentations to communicate insights effectively to stakeholders.Minimum Requirements:-Master's degree in Customer Analytics, Data Science, or related field.-At least 6 months experience applying customer analytics on AWS platform.-Strong analytical skills and expertise in predictive analytics, machine learning, and data visualization.Must have M.S. in Enterprise Analytics

Minimum Salary: 111966 Maximum Salary: 111966 Salary Unit: Yearly