R&D And Business Intelligence Specialist

● 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.