Data Scientist

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This role will utilize advanced analytical techniques, statistical methods, and machine learning algorithms to extract meaningful insights from complex datasets.

The role required to execute the below tasks and initiatives:

• Data Mining: Identify and extract valuable data from various sources such as databases, APIs, and web scraping.
• Feature Selection and Classification: Utilize machine learning algorithms to choose the most relevant features from the dataset, develop classifiers, and refine them for better accuracy.
• Data Preprocessing: Clean and format both structured (like SQL databases) and unstructured data (like text or images) to prepare it for analysis.
• Data Integrity: Implement processes to ensure data quality by validating and cleansing data sets to eliminate inconsistencies and errors.
• Pattern Analysis: Employ statistical methods and machine learning techniques to analyze large datasets, uncover trends, and derive actionable insights.
• Predictive Modeling: Design and develop algorithms that predict outcomes based on historical data, helping to inform strategic business decisions.
• Collaboration: Work closely with cross-functional teams, including Business and IT, to align data initiatives with organizational goals and ensure technical feasibility.

To be successful in this role, we are expecting the below:

• Min a Degree in Computer Science, or a related field.
• Demonstrated Min 2 years’ experience in Data Scientist role, showcasing the ability to apply these skills in real-world scenarios.
• Proficient in languages like R and Python for statistical analysis and machine learning, alongside SQL for querying databases.
• Strong foundation in applied statistics, understanding key concepts such as statistical tests, probability distributions, regression analysis, and maximum likelihood estimation.
• Familiarity with various machine learning algorithms, enabling the selection of appropriate models for specific tasks.
• Ability to preprocess and clean datasets, addressing issues like missing values, inconsistencies, and outliers to ensure data quality.
• Practical experience using various data science tools and libraries to implement machine learning and analysis tasks.
• Ability to think critically about data in a business context, linking insights to strategic objectives and operational decisions.
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
• Work location: Bukit Jalil (Nearby Pavilion Bukit Jalil)

Your application will include the following questions:

• What's your expected monthly basic salary?
• How many years' experience do you have as a data scientist?
• Which of the following data analytics tools are you experienced with?
• Which of the following programming languages are you experienced in?
• How many years' experience do you have using SQL queries?
• Have you worked in a role which requires experience with machine learning?