* Research \& Development: * Spearheaded groundbreaking R\&D initiatives, exploring cutting\-edge new technologies. * Conduct in\-depth statistical analysis, data mining, and visualization to fuel informed decision\-making. * Product Innovation: * Drive the creation of new technologies and tech products ready for successful market integration. * Contribute to the development and deployment of cutting\-edge solutions. * Market Research \& Analysis: * Lead comprehensive market analysis efforts to identify and capitalize on growth opportunities. * Define tends strategic directions for Blackstoneeit based on meticulous research. * Business Development Support: * Provide crucial data\-driven insights for presales and business development activities. * Champion Blackstone. It is committed to delivering exceptional tech solutions. * Advanced Data Analysis: * Dive deep into diverse datasets, extracting meaningful insights through advanced statistical techniques. * Leverage statistical models for accurate predictive and prescriptive analytics. * Data Mining Expertise: * Utilize sophisticated data mining techniques to unlock hidden patterns and trends. * Translate data insights into actionable recommendations for strategic decision\-making. * Data Visualization Mastery: * Construct visually compelling data visualizations that communicate complex findings with clarity. * Develop impactful dashboards for effective presentation of key insights. * Data Scraping Proficiency: * Extract data efficiently from various sources using advanced scraping techniques. * Ensure the accuracy and reliability of data acquired through scraping. **Requirements** * Bachelor's degree in Computer Science, Information Technology, marketing, or a related field. * Fresh Grads or 2\-4 years of experience in Research, Business Intelligence, AI, or Research Automation. * Strong analytical and problem\-solving skills. * Proven commitment to continuous learning and staying updated with the latest trends and AI/ML technologies. * Strong analytical and problem\-solving skills. * Experience with data warehousing concepts and methodologies. * Knowledge of data visualization best practices. * Excellent communication and interpersonal skills. * Ability to work effectively in a fast\-paced, collaborative environment. * Experience with cloud platforms (e.g., AWS, Azure) is a plus. * Knowledge of programming languages (e.g., Python, R) is a plus.