Data Scientist

Full time

About 19 hours ago, from Jobstreet Malaysia

Alphatel Global is seeking a talented and innovative Data Scientist to join our dynamic team. As a Data Scientist, you will play a pivotal role in extracting insights from complex datasets, building predictive models, and providing actionable recommendations to support strategic business decisions. This role involves working collaboratively with cross-functional teams, utilizing advanced statistical and machine learning techniques, and staying at the forefront of data science innovation.

Key Responsibilities:

• Data Exploration and Preparation: Explore and preprocess large datasets to extract meaningful features and insights.
• Predictive Modeling: Develop and implement predictive models using advanced statistical and machine learning techniques to solve complex business problems.
• Data Visualization: Create compelling visualizations to communicate complex findings and insights to both technical and non-technical stakeholders.
• Collaboration: Work closely with cross-functional teams to understand business objectives and collaborate on data-driven initiatives.
• Continuous Improvement: Stay updated on the latest advancements in data science and contribute to the improvement of data science methodologies within the organization.
• Advanced Analytical Skills: Proficient in analyzing large, complex datasets and extracting meaningful insights.
• Statistical and Machine Learning Expertise: Experience in applying statistical and machine learning techniques to solve real-world problems.
• Programming Skills: Proficient in programming languages such as Python or R for data analysis and modeling.
• Data Visualization: Strong skills in creating visualizations using tools such as Tableau, Power BI, or similar platforms.
• Problem-Solving: Innovative problem-solving skills to address complex business challenges with data-driven solutions.
• Communication Skills: Excellent communication skills to convey complex findings and insights effectively.

Job Requirements:

• At least possess a Master's or Ph.D. in Data Science, Statistics, Computer Science, or related fields.
• Demonstrated experience as a Data Scientist, supported by a portfolio of successful data science projects.
• Expertise in Python or R, including familiarity with relevant libraries and frameworks.
• Solid foundation and experience in applying machine learning algorithms to practical problems.
• Strong interpersonal and communication capabilities for effective teamwork with cross-functional groups.
• Commitment to staying informed about industry trends, data science techniques, and tools. Engage in ongoing training and development programs as necessary.