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 requires executing the following 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 expect the following:

• Minimum a Degree in Computer Science, or a related field.
• Demonstrated minimum 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)

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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?

Retail & Consumer Products 101-1,000 employees

BE International is a leading direct selling company based in Malaysia, marking a strong presence in Singapore, Brunei, Hong Kong & Indonesia. Our star brands - AULORA, BElixz, BEYUL, BEYANG have become synonymous with life-changing experiences, touching lives & igniting transformations that resonate deeply. Driven by our vision to create wellness in every way possible, we are committed to pushing boundaries through innovation & sustainability. Over the years, we have been honored to receive many awards for our dedication to wellness. Our recent accolade, the HR Asia Best Companies to Work for in Asia Award 2023, further underscores our dedication to cultivating an outstanding workplace where our employees can truly thrive.